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Salary- $80K/yr – $100K/yr
Remote
Posted 2 months ago
Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervisory Intelligence Analysts. Applications will not be accepted from outside this area of consideration. The FBI is an Intelligence Community (IC) agency like no other. As an FBI Intelligence Analyst (IA), you will lead analysis of criminal and national security threats to the U.S. that helps the FBI, policymakers, and partners identify threats and opportunities and inform decision-making. You will apply analytic tradecraft to analyze information derived from our unique blend of law enforcement and intelligence authorities. You will work with special agents, other FBI and IC colleagues, and partners to identify threat priorities, collection strategies, and disruption opportunities. FBI is looking for applicants who exhibit the identified critical skills listed under the Selective Placement Factor section of this job posting working at one of the 18 agencies designated by the ODNI. https://www.intelligence.gov/how-the-ic-works#our-organizations
Key Requirements
  • Must be current or former Federal, Intelligence Analysts (0132) within the Intelligence Community.
  • Must attend and successfully progress beyond the Intelligence Analyst Meet and Greet
  • Must be able to obtain a Top-Secret SCI clearance from the FBI
  • Must have a bachelor’s degree from an accredited college or university
Candidates selected from this posting will be required to successfully graduate from a 12- week Intelligence Basic Field Training Course (BFTC) at our training facility in Quantico, Va.
  • Must sign a mobility service agreement indicating your willingness to relocate to any office, based on the needs of the FBI
Candidates selected from this posting will be assigned to HQ divisions primarily in Washington DC, but potentially including locations that house FBI HQ personnel such as McLean VA Chantilly VA, Crystal City VA, Merrifield VA, Linthicum MD, Huntsville AL, Pocatello ID, Quantico and Fredericksburg VA, and Clarksburg, WV.
  • Must adhere to the two-year IA probationary period starting from the effective date of first assignment
Required Documents Failure to provide necessary and relevant information required by this job posting may disqualify you from consideration. 1. Resume (relevant/specialized work experience with start and end dates) 2. Official/Unofficial Transcript 3. SF-50 showing current employment as a 0132 at a designated IC agency Additional information will not be requested if your application is incomplete. Your application will be evaluated solely based on information you have submitted. Major Duties As an IA, you will:
  • Review FBI communications to identify and evaluate the intelligence information therein.
  • Prepare and disseminate intelligence information while protecting sources and investigations through correct document classification and controls.
  • Communicate with FBI field offices, legal Attaches (Legats), analysts, and members of the Intelligence Community (IC), policy, and law enforcement communities to gain a better
understanding of sources, operations, missions, and requirements.
  • Assist in the preparation of collection instructions, guides, and manuals for FBI entities and interact with outside entities to facilitate their initiatives.
  • Analysis to include collation of raw, primary, and secondary data derived from various sources such as automated data base systems, operational intelligence reports, miscellaneous
communications, case files, internal and external automation systems, and other sources.
  • Prepares parts of more complex studies or reports that include aspects related to their specifically-defined geographic or functional area.
  • May participate in interagency committees and meetings as representatives of the organization or functional area.
  • Evaluates incoming reports and information and performs interpretations and projections under the guidance of senior analysts.
  • Prepares basic descriptive and current reportorial intelligence reports to higher-level analysts and superiors in their assigned area of responsibility.
  • Ensures compliance with laws, regulations, executive orders, and directives promulgated by the Congress, Attorney General, the Director of the FBI, and the Office of Director of National
Intelligence (ODNI) to achieve goals and objectives.
Qualifications and Evaluations
  • Current or Former Federal Intelligence Analysts should ONLY apply to the grade level in which they currently hold.
  • Your resume and supporting documentation will be used to determine whether you meet the job qualifications and competencies listed in this announcement and will be compared to your
responses to the online assessment questionnaire.
  • Applicants must meet the qualification requirements by the closing date of this announcement.
  • Please ensure your specialized experience/requirement(s) can be identified in your resume.
Competencies
  • Analytic Thinking
  • Communication
  • Information Management
  • Collaboration
  • Flexibility and adaptability
  • Organization and planning
  • Problem solving and judgement
Specialized Experience (SE) GS 11: Applicants must have at least one (1) year of experience at the GS11 grade level. SE is as follows:
  • Conduct analytical reviews of data to identify patterns.
  • Analyze information and make decisions regarding its value and worth to a case.
  • Provide briefings, intelligence reports, and/or recommendations to management or higher-level staff.
GS 12: Applicants must have at least one (1) year of experience at the GS12 grade level. SE is as follows:
  • Guide investigative, programmatic, and policy decisions by the intelligence, policy, and law enforcement communities.
  • Manage the collection and dissemination of intelligence information from investigations, sources and contacts to the intelligence, policy, and law enforcement communities.
  • Perform liaison duties with other US and foreign government agencies on a wide variety of topics.
GS 13: Applicants must have at least one (1) year of experience at the GS13 grade level. SE is as follows:
  • Interpretation of investigative information and extrapolating data for the collection, analysis, evaluation, and dissemination to the appropriate officials of the IC, law enforcement agencies,
and other government entities.
  • Review information/data, determine the significance, and validate its accuracy and reliability.
  • Use of various analytical techniques and devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events.
GS 14: Applicants must have at least one (1) year of experience at the GS14 grade level. SE is as follows:
  • Expertly handle complex issues, providing guidance to investigative, programmatic, policy decisions by the intelligence, policy, and law enforcement communities.
  • Expertly able to review information/data, determine the significance, validate its accuracy and reliability
  • Using various analytical techniques, devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events
Initiate dialogue with counterparts in the analytical and intelligence community to anticipate emerging intelligence issues Selective Placement Factors
Please ensure that one or more of the following are identified within your resume:
  • Cyber: computer science, engineering, information assurance/security, information science, data science/analytics, ethical/white hat hacking, telecommunications security,
programming/coding or computer forensics. OR
  • National Security: International relations/foreign affairs, international migration, world religions, homeland security, international law, international finance, SIGINT or offensive technological
collection operations, or subject and source targeting. OR
  • Hard Sciences: Engineering, chemical, biological/agriculture, physics, physical science, biometrics, biomedical, or forensic science. Experience and familiarization with artificial intelligence,
quantum information sciences, immersive technologies, vehicle telematics, energy infrastructure, microelectronics, and wireless technology. OR
  • Other: Accounting/economics, geospatial/mapping, open-source intelligence, journalism, electrical or psychology/sociology. Degree of study in the following areas: Central Asia, China,
Korea, the Middle East, African/Arabian Peninsula, Eurasia, Cuba, or Latin America.

Job Features

Job Category

Cyber Security

Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervis…View more

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Salary- $60K/yr – $70K/yr
Hybrid
Posted 2 months ago
Title: .NET Web Developer Location: Hybrid

Summary

.NET framework to support business requirements. Includes the use of related development technologies such as ASP.NET, MVC, .NET CORE and supported programming languages (e.g. C#, C++, bootstrap) and scripting languages (e.g. TypeScript, JavaScript). Performs development of front-end and back-end development of web applications and web API’s (webservices). Experience with standard concepts, practices, and procedures within a particular field. Can perform with no direct supervision, code is reviewed by team. Reviews junior developer’s code.

Top Skills & Years of Experience

·         .NET MVC with C# and .NET CORE

·         CSS and HTML

·         TFS, GitHub and/or Jira

·         Full stack development

·         Entity Framework

·         Strong knowledge and experience with SQL Server database

·         Crystal Reports

·         MS Access-based applications

·         Kendo Framework

Job Features

Job Category

IT Development

Title: .NET Web Developer Location: Hybrid Summary .NET framework to support business requirements. Includes the use of related development technologies such as ASP.NET, MVC, .NET CORE and supported p…View more

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Salary- $157K/Yr – $182.5K/Yr
Hybrid, Onsite
Posted 2 months ago

Finance Analyst – Business Planning & Investment Strategy

A Finance Analyst specializing in business planning and investment strategy plays a pivotal role in guiding organizations toward financial growth, stability, and long-term sustainability. This position involves analyzing financial data, building forecasts, and delivering insights that directly influence strategic business decisions. The Finance Analyst not only interprets numbers but also connects them to the larger picture—helping executives make informed choices about budgeting, investments, risk management, and profitability.

The primary responsibility of this role is to examine financial performance across revenue, costs, and profitability. Analysts gather data from accounting systems, business operations, and market research reports to evaluate past trends and predict future outcomes. They create financial models to simulate various business scenarios, enabling leadership to understand how different strategies might impact profitability. For example, an analyst might assess the financial impact of launching a new product line, expanding into new markets, or restructuring operating expenses.

Budgeting and forecasting are central functions of this position. Finance Analysts collaborate with department heads to prepare annual budgets, track variances between actuals and forecasts, and provide recommendations to control costs or maximize revenue. Their insights help ensure that resources are allocated efficiently and that financial targets align with overall business strategy.

Another major responsibility is investment and risk analysis. Finance Analysts evaluate opportunities for capital investment, acquisitions, or partnerships by conducting financial due diligence, calculating ROI (Return on Investment), and assessing potential risks. They also monitor market conditions, competitor performance, and economic indicators to provide leadership with a comprehensive understanding of external factors that may influence financial outcomes.

This role requires strong collaboration with senior executives, accounting teams, and operations managers. Finance Analysts prepare financial reports, dashboards, and presentations that communicate complex financial concepts in a simple and actionable manner. Their recommendations often influence board-level decisions, making accuracy, clarity, and business storytelling critical.

Technology plays a key role in the day-to-day work of a Finance Analyst. They use advanced Excel functions, SQL databases, and financial software like SAP, Oracle, or QuickBooks to manage and analyze large datasets. Data visualization tools such as Power BI or Tableau are often employed to present insights in an interactive and easy-to-understand way. Increasingly, Finance Analysts are expected to use predictive analytics and automation tools to streamline financial planning processes and enhance accuracy.

Beyond technical expertise, this role demands strong problem-solving skills, critical thinking, and adaptability. Finance Analysts must be detail-oriented while also keeping a strategic perspective. They should be comfortable working in fast-paced environments where priorities shift quickly, especially in industries like banking, consulting, or retail.

In summary, a Finance Analyst in business planning and investment strategy is a trusted advisor who transforms raw financial data into actionable insights. By combining analytical skills with business acumen, they help organizations make smarter financial decisions, manage risks effectively, and achieve sustainable growth. Their work ensures that financial strategies are aligned with long-term goals, ultimately contributing to the success and resilience of the business.

Job Features

Job Category

Data Analyst, Data Science

Finance Analyst – Business Planning & Investment Strategy A Finance Analyst specializing in business planning and investment strategy plays a pivotal role in guiding organizations toward financi…View more

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Salary- $151K/yr – $185K/yr
Remote
Posted 3 months ago

Job Description

We are looking for a skilled Azure Machine Learning Engineer to design, build, and deploy scalable machine learning solutions on Microsoft Azure. You will work with data scientists, software engineers, and business teams to develop AI-driven solutions, including projects in finance, banking, and fintech domains.

Candidates with a finance background and strong technical skills are highly encouraged to apply.

Key Responsibilities

  • Design and deploy machine learning models using Azure Machine Learning

  • Build and manage ML pipelines using Python, Azure ML Studio, and Azure DevOps

  • Analyze large datasets, including financial and transactional data

  • Develop predictive models for risk analysis, fraud detection, and forecasting

  • Integrate ML models into production systems and APIs

  • Monitor, optimize, and retrain models for performance and accuracy

  • Ensure data security, compliance, and system scalability

  • Collaborate with cross-functional technical and finance teams

Required Skills & Qualifications

  • 3+ years of experience in Machine Learning, Data Engineering, or related roles

  • Strong knowledge of Microsoft Azure (Azure ML, Azure Data Factory, Azure Storage, AKS)

  • Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)

  • Experience with MLOps and CI/CD pipelines

  • Understanding of statistics, data modeling, and model evaluation

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, Engineering, or related field

  • Candidates with finance, banking, accounting, or economics background may apply

Nice to Have

  • Microsoft Azure AI or Data Scientist certification

  • Experience in fintech, trading systems, or financial analytics

  • Knowledge of Spark, Databricks, Docker, and Kubernetes

Why Join Us?

  • Competitive salary: $150k – $200k

  • Work on real-world AI projects in finance and enterprise domains

  • Strong career growth and certification support

  • Flexible working options

  • Supportive and innovative work culture

Job Features

Job Category

Data Science

Job Description We are looking for a skilled Azure Machine Learning Engineer to design, build, and deploy scalable machine learning solutions on Microsoft Azure. You will work with data scientists, so…View more

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Salary- $92K/yr – $144K/yr
Onsite
Posted 3 months ago

Job Description:

We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.

Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.

  • Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.

  • Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.

  • Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.

  • Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.

  • Enhance system reliability, security, and performance for astronomical observatories and space missions.

  • Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).

  • Monitor and troubleshoot system performance and astronomical data processing jobs.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.

  • 3+ years of experience in DevOps, SRE, or Cloud Engineering.

  • Proficiency in Linux, Shell scripting, Python, or Golang.

  • Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

  • Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.

  • Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.

  • Passion for space exploration, astronomy, or satellite technology.

Preferred Qualifications:

  • Experience working with astronomical observatories, space agencies, or research institutes.

  • Understanding of radio astronomy, optical telescopes, or space mission software.

  • Contributions to open-source projects related to space science or DevOps.

Benefits:

  • Work on cutting-edge space and astronomy projects.

  • Collaborate with leading scientists and space agencies.

  • Competitive salary and flexible work environment.

  • Opportunity to contribute to groundbreaking astronomical discoveries.

Job Features

Job Category

DevOps

Job Description: We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicist…View more

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Salary- $157K/Yr – $182.5K/Yr
Hybrid
Posted 3 months ago
Title: DevOps Engineer Location: Hybrid About The Job

Description:

Senior Full stack Engineer who is passionate about continuous innovation. Having at least 6+years of demonstrable development experience in React JS and Node JS together with working knowledge of LINUX, database, application deployment, version control, microservices would be key for individual’ success in a fast paced / agile environment. In this support role, Engineer would bring their A-game to provide day-to-day application support, not limited to monitoring application health, enhancing the application to implement bug fixes or system changes, application deployment, design, and test.

Top skills 

• React 17 (+) – JavaScript – HTML5, CSS 

• Node JS 

• Rest APIs, microservices 

• PL/SQL (Oracle, Postgres) 

• Version Control using Git 

• CI/CD approaches

Job Features

Job Category

DevOps

Title: DevOps Engineer Location: Hybrid About The Job Description: Senior Full stack Engineer who is passionate about continuous innovation. Having at least 6+years of demonstrable development experi…View more

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Salary- $157K/Yr – $182.5K/Yr, Salary- $180K/Yr – $210K/Yr
Hybrid
Posted 3 months ago
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.   IN THIS ROLE YOU WILL GET TO:
  • Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
  • Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
  • Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
  • Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
  • Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
  ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
  • Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
  • Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
  • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
  BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
  • Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
  • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
  • 1+ years of practical Snowflake experience.
  • Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Job Features

Job Category

AI Engineer, Data Science

Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic…View more

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Salary- $210K/Yr – $230K/Yr
Onsite
Posted 3 months ago
Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI’s incredible power to help professionals reach their full potential. Responsibilities
  • Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
  • Adapt pre-trained language models to our specific domain and use cases.
  • Develop and deploy state-of-the-art computer vision models for real-time applications.
  • Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
  • Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data
Minimum Qualifications
  • Experienced in machine learning and computer vision, in research and/or production.
  • Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
  • Master’s, PhD, or equivalent industry experience.
  • Strong desire to build and scale a startup from the early days.
Required skills
  • Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
  • Knowledge of neural networks, CNNs, and image processing techniques.
  • Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
  • Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
  • Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
  • Experience working at a startup
  • Experience with real-time video analysis, object detection, and scene understanding.
  • Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.
Minimum Qualifications
  • Strong desire to build and scale a startup from the early days.
  • Experienced in machine learning and computer vision, in research and/or production.
  • Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
  • Master’s, PhD, or equivalent industry experience.
Required skills
  • Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
  • Knowledge of neural networks, CNNs, and image processing techniques.
  • Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
  • Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
  • Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
  • Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
  • Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
  • Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.
Note: 1) Role does not sponsor visa at this time. 2) Role will have option to convert full time after initial contract with generous equity.

Job Features

Job Category

AI Engineer, Data Science

Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers,…View more

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Salary- $120K/yr – $150K/yr
Remote
Posted 3 months ago

Clinical Data Scientist

The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
  • Help drive optimization, testing, and tooling to improve quality
  • Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
  • You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Job Features

Job Category

Data Analyst, Data Science, Machine Learning

Clinical Data Scientist The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved feat…View more

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Salary- $94K/yr – $123K/yr
Remote
Posted 3 months ago

About the Role:

As an AI-Powered Threat Detection Engineer, you’ll develop intelligent security systems that learn from threat patterns, predict malicious behavior, and automate incident response. You’ll work on the cutting edge of AI-driven cyber defense, designing tools that detect insider threats, advanced persistent threats (APT), and zero-day exploits.

This is a hands-on engineering role for someone who loves solving complex problems using AI, machine learning, and cybersecurity expertise.

Key Responsibilities:

  • Build and deploy AI/ML models for behavioral analytics and threat scoring.

  • Use real-time streaming data to identify and respond to emerging cyber threats.

  • Integrate your models into SIEM and SOAR platforms for automated defense.

  • Conduct red team vs. blue team simulations using generated attack data.

  • Lead data engineering efforts for collecting, cleaning, and labeling threat logs.

  • Work closely with cybersecurity analysts and DevSecOps teams.

  • Research and implement deep learning approaches for malware classification.

 Required Skills:

  • Solid foundation in cybersecurity principles and incident detection

  • Strong coding skills in Python (Pandas, Scikit-learn, TensorFlow or PyTorch)

  • Proficiency in data pipelines and APIs (Kafka, REST, Splunk, Elasticsearch)

  • Experience with SIEM tools (e.g., QRadar, Splunk, Microsoft Sentinel)

  • Understanding of log analysis, network traffic, and SOC processes

  • Familiarity with threat frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain)

Desirable Skills:

  • Experience with anomaly detection algorithms or unsupervised learning

  • Exposure to graph-based analysis for threat hunting (e.g., Neo4j, NetworkX)

  • Hands-on with Docker, Kubernetes, and cloud-based ML pipelines

  • Cybersecurity certifications: CISSP, CISM, CEH, or Google Cybersecurity Cert

Why This Role Is Unique:

  • You’ll design real-world AI systems that detect attacks before they happen

  • Work with live, high-volume data from financial institutions and telecom networks

  • Exposure to AI forensics, digital twin simulations, and advanced SOCs

  • Training budget and mentorship to specialize in AI Cyber Defense

Job Features

Job Category

Cloud Security Engineer, Cyber Security

About the Role: As an AI-Powered Threat Detection Engineer, you’ll develop intelligent security systems that learn from threat patterns, predict malicious behavior, and automate incident response. Y…View more

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Salary- $180K/Yr – $210K/Yr
Remote
Posted 4 months ago

Role Overview:

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.

Key Responsibilities:

  • Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.

  • Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.

  • AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.

  • Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.

  • Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.

Required Qualifications:

  • Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.

  • Technical Skills:

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).

    • Familiarity with cybersecurity concepts and tools.

  • Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.

  • Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.

Preferred Qualifications:

  • Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).

  • Experience: Prior experience in a cybersecurity-focused data science role.

  • Tools: Familiarity with data visualization tools like Tableau or Power BI.

Benefits:

  • Competitive Salary: Reflective of experience and industry standards.

  • Flexible Working: Options for remote or hybrid working arrangements.

  • Professional Development: Opportunities for training and certifications in AI and cybersecurity.

  • Health & Wellness: Comprehensive health insurance and wellness programs.

Job Features

Job Category

Cyber Security

Role Overview: We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves develo…View more

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Salary- $157K/Yr – $182.5K/Yr
Texas
Posted 4 months ago
This position will directly support UNL Athletics and will be part of our Security Engineering team, which is responsible for protecting the enterprise from cyber threats and preventing the occurrence and recurrence of cybersecurity incidents. Specifically, this position will focus on network security and work closely with the ITS infrastructure team and campus IT support teams. Occasionally, work outside of regular business hours may be required to respond to incidents or service outages. Requirements Responds to security alerts and investigates root cause. Assists with the implementation and administration of the University’s information security program. This includes safeguarding information system assets by identifying and solving potential and actual security problems and risks. Responsible for requirements management, solution recommendations, and project management in support of strategic security projects which vary in scope from campus strategic goals to NU system goals to state and federal mandates. Provides timely, clear verbal and written communications related to all projects and operational activities. The work involves following the methodologies of the security and business analysis fields in order to:
  • Assist in analyzing customer needs and capture requirements using multiple methods from the security and identity perspectives.
  • Assist in the development and maintenance of systems and policies to ensure the security of information and data assets.
  • Perform analysis and judgment outside established protocols requiring a high degree of confidentiality and integrity.
  • Responsible for implementation of security policies and procedures (e.g., user log-on and authentication rules, security breach escalation procedures, security auditing procedures and use of firewalls and encryption routines).
  • As necessary researching requirements and writing draft policies.
  • Work as necessary with external contractors and other vendors for completion of plans and projects.
  • Maintenance of systems and policies to ensure the security of information and data assets; monitoring of procedures and compliance with security policies to ensure that user access, resources and information are secure
  • Monitoring of emerging network threats and regular consultation with other IT professionals and user departments to provide tactical and strategic technical guidance and assist in the design and implementation of appropriate access protection, audit control and evidentiary methods and procedures.
  • As necessary test and/or manage University systems, infrastructure and applications.This position will uphold the ITS core principles of outstanding collaboration and communication, a drive to succeed, a passion for higher learning, and acting with integrity.
Position Details: https://uofnebraska.sharepoint.com/:b:/s/nu-SystemHR-Public/EduywTLYuHhKr4B-rPQCYssB46l_ygBsavKnlLVpsdlgjg?e=wNCyyg Qualifications Position Announcement: Bachelor’s degree required; equivalency considered Two years experience in information technology or security experience; required Must have excellent verbal, written and interpersonal skills; requiredMust have strong organizational and problem solving skills; requiredExperience within a higher education environment; preferredExperience using security tools (vulnerability scanners, intrusion prevention systems, firewalls, VPN’s, data loss prevention, etc.); preferred Security + or similar certification; desired Special Instructions To Applicant This position directly supports UNL Athletics and be a part of the Security Engineering Team, position has a minimum annual salary of $80,500 and is eligible for alternative worksite arrangement (Hybrid) and will be located on the Lincoln campus. Please complete a standard application and attach a resume, cover letter and the names, email addresses and telephone numbers for three professional references. Please note: H1-B Sponsorship will not be offered for this position. If you should need assistance with your application, please call 402-472-3701. The University of Nebraska is an Affirmative Action/Equal Opportunity Employer and participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, gender identity, sexual orientation or protected veteran status. To apply, visit https://apptrkr.com/5600716 The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. The University of Nebraska is an Equal Opportunity/Affirmative Action and E-Verify employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, gender identity, sexual orientation, or protected veteran status. All positions opened at the University of Nebraska are subject to veterans’ preference.

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Job Category

Cyber Security

This position will directly support UNL Athletics and will be part of our Security Engineering team, which is responsible for protecting the enterprise from cyber threats and preventing the occurrence…View more

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Salary- $105.8K/yr – $174.8K/yr
Ohio
Posted 4 months ago
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It’s yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. US Consulting – AI & Data – Data Architect, Industrials & Energy Sector – Senior The opportunity EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. Lead the design, development, and management of the organization’s data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives. In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities
  • Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals
  • Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
  • Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment
  • Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data
  • Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
  • Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes
  • Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity
  • Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • Solve complex data problems to deliver insights that help achieve business objectives
  • Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics
  • Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals
  • Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
Skills And Attributes For Success
  • Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing
  • Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
  • Hands on experience with major components like Hive, Spark, and MapReduce
  • Experience working with NoSQL in at least one of the data stores – HBase, Cassandra, MongoDB
  • Experienced in Hadoop clustering and Auto scaling
  • Good knowledge in apache Kafka & Apache Flume
  • Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
  • Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies
  • Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required
  • Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
  • Ability to build and optimize queries (SQL), data sets, ‘Big Data’ pipelines, and architectures for structured and unstructured data
  • Experience with or knowledge of Agile Software Development methodologies.
  • Demonstrated understanding and experience using:
  • Data Engineering Programming Languages (i.e., Python)
  • Distributed Data Technologies (e.g., Pyspark)
  • Cloud platform deployment and tools (e.g., Kubernetes)
  • Relational SQL databases
  • DevOps and continuous integration
  • AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
  • Databricks/ETL
  • IICS/DMS
  • GitHub
  • Event Bridge, Tidal
To qualify for the role you must have
  • Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
  • Excellent communicator (written and verbal formal and informal)
  • Ability to multi-task under pressure and work independently with minimal supervision.
  • Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives
  • Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling
  • Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
  • Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Ideally, you’ll also have
  • Experience in leading and influencing teams, with a focus on mentorship and professional development
  • A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
  • The ability to foster an inclusive environment that values diverse perspectives and empowers team members
What We Offer We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

Job Features

Job Category

Data Science

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting…View more

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Salary- $190K/Yr – $220/Yr
Hybrid
Posted 4 months ago

Job Description:
We are seeking an AI-Powered Cybersecurity Analyst to join our security operations team. In this role, you will leverage artificial intelligence and machine learning to detect, analyze, and mitigate cyber threats in real-time. The ideal candidate will have a strong foundation in cybersecurity principles along with hands-on experience in applying AI models for anomaly detection, predictive threat analysis, and automated incident response.

Key Responsibilities:

  • Develop and deploy AI/ML models to identify unusual network behavior, malware patterns, and insider threats.

  • Integrate AI-driven tools into existing Security Information and Event Management (SIEM) systems.

  • Analyze large volumes of security logs and threat intelligence using machine learning techniques.

  • Collaborate with threat hunters and SOC teams to enhance detection accuracy and reduce false positives.

  • Automate repetitive security tasks such as phishing detection, vulnerability scanning, and patch prioritization.

  • Stay updated on the latest advancements in AI for cybersecurity, including generative AI risks and adversarial attacks.

  • Support incident response by providing AI-driven insights during investigations.

Qualifications:

  • Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Data Science, or related field.

  • Strong knowledge of cybersecurity fundamentals (network security, threat intelligence, SOC operations).

  • Experience with machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn).

  • Familiarity with security tools such as Splunk, QRadar, or Elastic Security.

  • Programming skills in Python or R for data modeling and automation.

  • Understanding of adversarial AI threats and defensive strategies.

  • Excellent problem-solving and analytical skills.

Preferred Skills:

  • Knowledge of cloud security (AWS, Azure, GCP) with AI-driven defense mechanisms.

  • Experience with Natural Language Processing (NLP) for phishing and malware text analysis.

  • Certifications such as CEH, CISSP, or CompTIA Security+, along with AI/ML certifications.

Why Join Us?
You will be at the forefront of the next generation of cybersecurity, using artificial intelligence to fight advanced cyber threats. This role offers the opportunity to work on cutting-edge security challenges, innovate with AI, and protect organizations against evolving digital risks.

Job Features

Job Category

Machine Learning

Job Description:We are seeking an AI-Powered Cybersecurity Analyst to join our security operations team. In this role, you will leverage artificial intelligence and machine learning to detect, analyze…View more

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Salary- $70K/yr – $90K/yr
Remote(International)
Posted 4 months ago
Title: FinCrime Investigator Location: Remote (Open to candidates from any country)

Resource Proposal for FinCrime Investigator – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement: Cloud Security Engineer – Contractor Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary The Integration Modernization initiative aims to enhance Ulta’s capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months. Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

  1. Security Assessment and Risk Management:
    • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
    • Identify and mitigate potential vulnerabilities in cloud-based architectures.
    • Ensure proper encryption and key management protocols are in place.
  1. Architecture and Design:
    • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
    • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
  1. Tool and Platform Security:
    • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
    • Manage security integrations with Ulta’s identity management systems.
  1. Monitoring and Incident Response:
    • Set up continuous monitoring for security events and anomalies across the integration platforms.
    • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
  1. Compliance and Auditing:
    • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
    • Conduct regular audits of security controls and recommend improvements as needed.
  1. Documentation and Knowledge Transfer:
    • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
    • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company’s strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance. Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization’s assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

  • Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
  • Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
  • API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
  • Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
  • Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
  • DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

Job Features

Job Category

Cyber Security, Security

Title: FinCrime Investigator Location: Remote (Open to candidates from any country) Resource Proposal for FinCrime Investigator – Integration Modernization Initiative Project Name: Integration Mode…View more

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