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Salary- $157K/Yr – $182.5K/Yr
Remote
Posted 2 days 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

AI Engineer, Cyber Security

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
Posted 2 days ago
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.   Position Summary The Department of Epidemiology in the Mailman School of Public Health seeks an experienced quantitative Data Analyst to provide data management and conduct analysis of longitudinal cohort data and quasi-experimental designs for the VIBE Research Lab. The portfolio of projects includes studies of the social and structural determinants of maternal and reproductive health equity. The successful candidate will have experience analyzing data, writing scientific manuscripts, and proficiency in SAS, Stata, and R. Experience with longitudinal data analysis (e.g., survival analysis and other time-to-event procedures, trajectory analysis), random effects models, and quasi-experimental models such as interrupted time series is preferred. She/he/they will assist with preparation of conference abstracts, reports and papers for publication; assistance with developing related grant proposals and research protocols to extend the scope of the project; and other support as required. The Data Analyst will also product charts and data visualizations for the research projects. This is a two-year grant-funded position. Responsibilities 70% data analysis 20% manuscript and grant preparation 10% documentation, data governance and other administrative tasks   Minimum Qualifications A bachelor’s degree or equivalent in training, education plus 3 years of experience Experience with quantitative data management and analysis. The ability to work with internal and external multidisciplinary teams. Proficiency in SAS, Stata, R is essential. Excellent written and oral communication skills and be detail oriented. High-level interpersonal and organizational skills. Ability to work independently Excellent written and verbal communication skills Knowledge of health equity research and practice   Preferred Qualifications A master’s degree or equivalent in training, education, and/ or experience in public health or a related discipline. Work experience in public health or a related science. Highly motivated and interested in developing a research career Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Job Features

Job Category

Data Science

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, special…View more

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Salary- $144K/Yr – $207K/Yr
Remote
Posted 2 days ago
AI Chat Integration Engineer Location: United States or Canada Department: R&D | AI & Platform Engineering Reports To: Head of AI & Automation Type: Full-Time Compensation: $170K – $220K USD About Centric Software: Centric Software stands at the forefront of innovation, delivering cutting-edge PLM solutions tailored specifically for the retail, fashion, footwear, luxury, and consumer goods industries. Our enterprise software applications are designed to meet the unique challenges of the fast-moving consumer goods market, empowering businesses to manage, optimize, and execute their critical processes with ease. From concept to production, our software solutions streamline the journey of bringing products to life. We support our customers in effectively managing materials, sourcing, quality, and pricing, ensuring every step leads to a successful final catalog. With Centric Software, businesses can navigate the complexities of product development with confidence and agility. www.centricsoftware.com   Job Summary The AI Chat Integration Engineer at Centric Software is a highly skilled, system-level thinker who excels at designing and implementing AI-powered chat integrations. They have a deep understanding of TypeScript, Node.js, React, and API architecture and are passionate about creating type-safe, reusable, and scalable systems that enhance team productivity. This individual thrives in a fast-paced, high-tech SaaS environment, enjoys solving complex integration challenges, and has a strong DevOps and infrastructure mindset to ensure seamless AI feature deployment across product teams. This engineer collaborates cross-functionally with Product Management, AI/ML Engineers, Cloud Infrastructure, and DevOps teams to implement real-time, containerized, and high-performance AI-driven chat solutions. They are structured, methodical, and proactive, always seeking ways to improve developer experience and streamline workflows. Mindset & Key Traits:
  • Systematic & Analytical Thinker
  • Passionate About Developer Experience & System Architecture
  • Strong Advocate for Type Safety & API Standardization
  • Team-Oriented with a Collaboration-First Approach Deep Focus on Scalability, Security, and Performance
  Key Responsibilities
  • Design & Develop Chat Integration Patterns
    • Architect and implement scalable chat integration patterns that seamlessly integrate AI-driven conversational tools into Centric Software’s ecosystem.
    • Work closely with AI/ML teams to optimize real-time customer chat experiences for Pre-Sales, Post-Sales, and Product Support.
    • Ensure smooth multi-channel integration across web, mobile, and enterprise platforms.
  • Create Type-Safe APIs & Reusable Components
    • Develop robust, type-safe APIs for AI-driven interactions, ensuring they are secure, scalable, and efficient.
    • Build and maintain highly reusable UI components for chat interfaces using React + MobX.
  • Optimize AI Feature Implementation
    • Collaborate with AI/ML teams to deploy and optimize AI-powered chat features using real-world data.
    • Enhance conversational AI models by refining API interactions, chatbot logic, and performance benchmarks.
  • Drive Containerization & Service Separation
    • Lead efforts in Docker-based containerization to support microservices architecture and seamless deployment of chat AI modules.
    • Work on Kubernetes and serverless architectures to ensure AI chatbot services are robust and scalable.
  • Architect & Improve System Infrastructure
    • Own and improve the system architecture supporting AI-driven chat and conversational AI.
    • Ensure AI chat services integrate seamlessly with Centric’s PLM, CMI, VIP, Planning, CPI, and Personalization modules.
    • Implement performance optimizations for faster AI inference, lower latency, and improved real-time interaction.
  • Champion DevOps & CI/CD Best Practices
    • Optimize CI/CD pipelines for rapid deployment of AI-integrated chatbots.
    • Work closely with DevOps teams to ensure secure, automated, and efficient deployments.
  Technical Requirements & Core Skills Programming & Development:
  • Expertise in TypeScript & Node.js – strong foundation in backend development and type safety.
  • React + MobX Experience – ability to build and maintain highly responsive and interactive UI components.
  • Vue.js & Python Knowledge – exposure to other front-end and scripting languages is a plus.
  • Deep API Design Understanding – experience designing, documenting, and securing scalable RESTful & GraphQL APIs.
Infrastructure & System Architecture:
  • Containerization (Docker, Kubernetes) – strong experience in microservices and service separation.
  • Infrastructure Optimization – experience in cloud platforms (AWS, GCP, Azure) to deploy AI-driven chat solutions.
  • Performance Tuning & Security – ensuring chat solutions are highly performant, scalable, and secure.
DevOps & Automation:
  • Strong DevOps Mindset – experience with CI/CD tools (Jenkins, GitHub Actions, ArgoCD).
  • Automated Testing & Deployment – knowledge of tools like Cypress, Jest, or similar for automated UI/API testing
Requirements
  • 5+ years of experience in TypeScript, Node.js, React, and API design
  • Experience working with AI, Chatbots, or Conversational AI frameworks
  • Deep knowledge of microservices, containerization, and scalable system architectures
  • Prior experience working in SaaS, AI, or High-Tech Product organizations
  • Strong problem-solving mindset with a bias for action and innovation
Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information. “The US base salary range for this full-time position is $170 – 200K base + benefits. Our salary ranges are determined by role, level, and location. The range for each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Candidates who exceed the specified experience and relevant education or training may be considered for compensation above the stated range. Please note that the compensation details listed reflect base salary, and certain positions may be offered additional variable incentives.”   Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.

Job Features

Job Category

Data Engineer, Data Science

AI Chat Integration Engineer Location: United States or Canada Department: R&D | AI & Platform Engineering Reports To: Head of AI & Automation Type: Full-Time Compensation: $170K – $…View more

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Salary- $120K/yr – $150K/yr
Remote
Posted 2 days ago
Position Purpose: Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot, Cybersecurity consists of Architecture, Governance, Identity & Access Management, Internal Threat Operations, Issue and Compliance Management, Risk Assessment/Advisory, Security Consulting, Security Operations, Service Optimization and Strategic Planning. Cybersecurity Engineer utilizes business knowledge and technical experience of cybersecurity to provide a secure environment for the business. Key Responsibilities:
  • 100% Deliver Execution & Problem Solving – Troubleshoot and quickly resolve escalated incidents Investigate and recommend corrective actions related to incidents Collaborate with Enterprise Technology to configure and integrate cybersecurity systems and services that mitigate risk Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management
Direct Manager/Direct Reports:
  • This Position typically reports to Manager or Sr. Manager
  • This Position has 0 Direct Reports
Travel Requirements:
  • No travel required.
Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Preferred Qualifications:
  • No additional qualifications
Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
Preferred Education:
  • No additional education
Minimum Years of Work Experience:
  • 0
Preferred Years of Work Experience:
  • No additional years of experience
Minimum Leadership Experience:
  • None
Preferred Leadership Experience:
  • None
Certifications:
  • None
Competencies:
  • Action Oriented
  • Collaborates
  • Communicates Effectively
  • Customer Focus
  • Drives Results

Job Features

Job Category

Cyber Security, Cybersecurity Engineer

Position Purpose: Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot, Cybersecurity co…View more

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Salary- $70K/yr – $90K/yr
Texas
Posted 2 days ago
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries.
It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.”
Job Description:
  • Collaborate with domain experts to understand requirements and translate them into actionable data science tasks
  • Learn from industry experts already at DTN
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies in relevant datasets, including weather and Earth-observing satellite data, data from weather, energy, and agricultural modeling systems, and data from governmental sources such as the USDA, DOE, EIA, NOAA, and NASA
  • Identify and implement novel ways of integrating varied informational resources to fill in critical gaps in the data that are available for solving a particular problem
  • Develop and implement innovative machine learning models for classification, localization, prediction, and change detection
  • Develop data visualization tools and dashboards to communicate findings and insights to stakeholders
  • Apply satellite data in combination with other data resources and models to extract meaningful insights related to weather, agriculture, and energy
  • Conduct spatiotemporal analyses and build models to identify and forecast weather-related risks such as droughts, floods, and storms
  • Stay updated with the latest advancements in satellite imagery analysis, machine learning, and data science techniques
What you can expect from DTN:
  • Flexible working hours
  • Remote work model (position dependent)
  • Competitive Medical, Dental and Vision Insurance Plans
  • 6% 401K matching
  • Unlimited access to 13k+ courses via learning platform to support employee career advancement
  • Employee Assistance Program (EAP)
The targeted hiring base pay range for this position is between $63,750 and $85,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
Why DTN?
OUR VISION: To be the independent, trusted source of insights to our customers who feed, protect, and fuel the world.
OUR MISSION: Empower our customers with intelligent and actionable insights that exceed their expectations and enable their success on a daily basis.
OUR VALUES: Customer-Focused, Forward-Thinking, People-Centric, Solution-Oriented
We have great benefits at DTN – apply today to find out more!
At DTN, we are an equal opportunity employer. Come join us as we help feed, fuel, and protect the world!
** DTN is an Equal Opportunity Employer Minorities/Women/Veterans/Disabled

Job Features

Job Category

Data Science

DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas,…View more

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Salary- $144K/Yr – $207K/Yr
New York, Remote
Posted 3 days ago

About Us

Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity. We are a small, growing and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company’s mission. Leadership is earned by those who show initiative and deliver excellence. We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills. LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.

About the Role

As an Agent Research Engineer, you will help advance the highest levels of the tech stack to imbue AI systems with true agency. Collaborating directly with our technical founder and diverse team, we will build the next generation of general learning agents. Possessing and maintaining a wide, deep and holistic knowledge base of cutting-edge research is crucial for advancing the mission. Many are called, but few are chosen.
  • Full-Time
  • On-site at either our SF or LA offices

Tech Stack

Python, Engrish, LLMs, ANNs, C++/Cuda

Ideal Experience

  • Deep expertise in systems engineering across the tech stack
  • Strong holistic background in machine learning theory and practice
  • Diverse knowledge of neural architectures/circuits: transformers etc
  • Published research at top AI conferences

Key Responsibilities

  • Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning
  • Prototype and evaluate novel state-of-the-art methods/models

Interview Process

After submitting your application, our technical team reviews your credentials. If selected, you’ll proceed through the following stages:
  • Initial screening (virtual 15 minutes)
  • Quick dive into Vast, systems and architectures (virtual 30 minutes)
  • LLM assisted coding assessment (virtual 1 hour)
  • Meet and greet with coding assessment (on-site 2 hours)
Our goal is to complete the interview process in two weeks.

Annual Salary Range

$160,000 – $320,000 + equity + benefits Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.

Job Features

Job Category

AI Engineer, Data Science

About Us Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity. We are a s…View more

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Salary- $92K/yr – $144K/yr
Onsite
Posted 3 days 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- $137K/yr – $178K/yr
Hybrid, Remote
Posted 3 days ago

Overview:

A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.

Key Responsibilities:

  • Analyze datasets and algorithms for bias, fairness, and representativeness.

  • Design ethical frameworks for AI and data usage.

  • Work with data scientists, engineers, and product teams to implement responsible AI practices.

  • Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).

  • Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.

  • Educate stakeholders on data ethics principles.

Required Skills:

  • Strong foundation in data science and machine learning.

  • Understanding of ethical theory, philosophy, or AI ethics.

  • Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).

  • Ability to communicate complex ideas to non-technical stakeholders.

  • Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

Job Features

Job Category

Data Engineer, Data Science

Overview: A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, an…View more

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Salary- $151K/yr – $185K/yr
Hybrid
Posted 3 days ago
About Us Thrive is a rapidly growing technology solutions provider focusing upon Cloud, Cyber Security, Networking, Disaster Recovery and Managed Services. Our corporate culture, engineering talent, customer-centric approach, and focus upon “next generation” services help us stand out amongst our peers. Thrive is on the look-out for individuals who don’t view their weekdays spent at “a job”, but rather look to develop valuable skills that ignite their passion and lead to a CAREER. If you’re attracted to a “work hard, play hard” environment, seeking the guidance, training and experience necessary to build a lucrative career, then welcome to THRIVE!! Position Overview: We are seeking a Cognitive Threat Analyst with a strong focus on managing and optimizing Microsoft Sentinel and Defender XDR products. This role will be pivotal in enhancing our cybersecurity framework by leading the integration and utilization of these key security tools. Responsibilities include designing and optimizing SIEM rules for superior threat detection and incident management, deploying SOAR tools for automated security responses, and ensuring robust API security. The engineer will oversee the performance and security posture of our platforms, customize client reports, automate report delivery to platforms like ServiceNow, and meticulously document security processes. Additionally, the role involves analyzing SOC and SIEM data for actionable insights, creating security dashboards and response runbooks, and participating in client meetings as the primary security contact. Staying informed about the latest security trends and techniques is essential. This position is ideal for a detail-oriented individual eager to push the boundaries of cybersecurity and enhance client interactions.   Primary Responsibilities
  • Lead the management of Microsoft Sentinel and Defender XDR products, including their integration with existing tools, utilizing them to elevate existing Security Operations
  • Design and optimize SIEM (Security Information and Event Management) rules using FortiSIEM to enhance threat detection and streamline incident response activities
  • Deploy and manage Endpoint Detection and Response (EDR) solutions, specifically FortiEDR, SentinelOne, and Defender for Endpoint to identify and mitigate endpoint threats effectively
  • Design and implement automated security use cases and playbooks to accelerate incident response and remediation
  • Assist in overseeing the implementation and management of API security measures, ensuring secure data transmission and compliance with industry-standard API security protocols
  • Collaborate with clients to understand their reporting needs and requirements and customize reports accordingly
  • Develop, maintain, and automate client-facing reports using our existing security tools. These reports should effectively articulate incident metrics and trends to both technical and non-technical audiences. This role also includes automating the upload of these reports to the ServiceNow client portal
  • Create and maintain materials documenting our security processes, procedures, and technologies, along with the generation of automated reports for relevant stakeholders
  • Provide expert guidance on alarm tuning and configuration tasks necessary for Security Service deployment to new and existing customers
  • Take a proactive role in updating client Security presentations and discuss findings with our clients
  • Perform comprehensive analysis of data from our SOC and SIEM to identify patterns, anomalies, and potential threats
  • Design and implement client reports, dashboards, and metrics, and manage response runbooks and walkthrough documents
  • Stay informed about the latest security events and techniques to enhance our operations and defense strategies
  • Other duties as required
Qualifications and Required Skills
  • Proven experience with Microsoft Sentinel and Defender XDR products
  • Strong background in SIEM rule design and optimization
  • Extensive experience in implementing and overseeing Endpoint Detection and Response (EDR) solutions
  • Experience with SOAR tools and automated security response implementations
  • Excellent communication skills for both technical and non-technical audiences
  • Demonstrated understanding of cybersecurity threats and incident response procedures
  • Knowledge of risk assessment tools, technologies, and methods
  • Expertise in computer networking and security
  • Passion for cybersecurity and continuous learning
  • Must be able to work effectively in a team environment and collaborate within the team and with other stakeholders

Job Features

Job Category

Cloud Security Engineer, Cyber Security

About Us Thrive is a rapidly growing technology solutions provider focusing upon Cloud, Cyber Security, Networking, Disaster Recovery and Managed Services. Our corporate culture, engineering talent, c…View more

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Salary- $120K/yr – $150K/yr
Onsite
Posted 3 days ago
Title: Azure Data Engineer
Location: Hybrid
  • Python, SQL
  • DBT Experience
  • Previous retail (Prev Albertsons would be great!)
  • Communication is key, speaking to stakeholders
  • Communication skills, explain implementation teams
  • Work with functionally split within retail analytics side
  • Person would be working on hub and spoke model- supply chain and merchandising
  • Two domains supply chains and store sites- lead engineers do review to other on team.

 

GENERAL PURPOSE:

The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.

QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:

  • 12 + years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries
  • 5+ years proven data architecture experience – must have demonstrable experience data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)
  • At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred
  • Expert in engineering data pipelines using various data technologies – ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience
  • 5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures
  • Highly proficient in at least one of these programming languages: Java, Python
  • Experience with modern data modelling tools, data preparation tools
  • Experience with adding data lineage, technical glossary from data pipelines to data catalog tools
  • Highly proficient in Data analysis – analyzing SQL, Python scripts, ETL/ELT transformation scripts
  • Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required
  • Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus
  • Self-driven individual with the ability to work independently or as part of a project team
  • Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
  • Experience with Streamsets, dbt preferred
  • Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users
  • Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management required

Job Features

Job Category

Data Analyst, Data Science

Title: Azure Data Engineer Location: Hybrid Python, SQL DBT Experience Previous retail (Prev Albertsons would be great!) Communication is key, speaking to stakeholders Communication skills, explain im…View more

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Salary- $90K/yr – $120K/yr
Remote
Posted 3 days ago
What to Expect
We are looking for a dynamic Content Specialist who thrives in a high-energy, rapidly evolving setting. The ideal candidate will bring a data-centric approach, a passion for streamlining processes, and meticulous attention to detail. This position focuses on optimizing operational workflows, providing strategic support to communications teams (e.g., coordinating campaigns, managing timelines, and aligning messaging efforts), spearheading cross-functional initiatives, and elevating project management methodologies to drive efficiency, collaboration, and innovation.
What You’ll Do
  • Curate and execute weekly communication campaigns that support our field teams in understanding company initiatives and the whys behind
  • Partner with internal stakeholders (e.g. Sales and Service Operations teams) to develop, refine, and deliver tailored content strategies that resonate with field audiences
  • Ensure consistency, reliability, and quality in communications that align with Brand Standards
  • Lead diverse project ideation, prioritization, and execution across multiple regions and continuously evaluate project impact on operational efficiency, refining strategies for optimal performance
  • Apply content management strategies, in collaboration with systems engineers and operational stakeholders, to organize content for an improved user experience and seamless AI integration
What You’ll Bring
  • Bachelor’s Degree in Business, Communications, Finance or related field or equivalent experience
  • Intermediate skills in MS Excel
  • Strong written and verbal English skills
  • Ability to credibly convey complex ideas effectively at the executive level
  • Able to juggle multiple competing priorities in a face paced environment
  • Available to work on additional responsibilities as assigned to meet business needs
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

Job Features

Job Category

Data Analyst, Data Science

What to Expect We are looking for a dynamic Content Specialist who thrives in a high-energy, rapidly evolving setting. The ideal candidate will bring a data-centric approach, a passion for streamlinin…View more

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Salary- $144K/Yr – $207K/Yr
Hybrid
Posted 3 days ago
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
Job Description: AFS is seeking a Forensic Analyst to support a new and exciting opportunity. As a Forensic Analyst at AFS, you’ll perform technical analysis of malicious binaries through controlled execution and/or static analysis of assembly code; analyze and overcome techniques (involving unpacking, de-obfuscation, and anti-debugging) designed to defeat detection; ascertain functionality, capability, and call-backs of malicious code; assist with attribution to adversary infrastructure and identification of indicators of compromise; work with the customer to provide information and documentation of malware characteristics and properties to enable malware detection; develop and implement mitigation strategies to build high-confidence YARA/SNORT rules and signatures. Responsibilities include:
  • Develop solutions spanning multiple subject areas, from NLP to Image and Video.
  • Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source.
  • Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM).
  • Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge.
  • Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences.
  • Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities.
Here’s what you need:
  • A.A. and 13 years of in-depth relevant experience OR B.S. and 11 years of in-depth relevant experience OR M.S. and 9 years of in-depth relevant experience OR Phd and 7 years of in-depth relevant experience
Security Clearance:
  • An active TS/SCI with polygraph clearance is required to start
 
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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Job Category

Cyber Security, Cybersecurity Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purp…View more

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Salary- $137K/yr – $178K/yr
Remote
Posted 3 days ago
Location: Hybrid Job Overview: We are seeking a skilled AI Solutions Developer to design and implement innovative, AI-powered tools using Azure OpenAI, Retrieval-Augmented Generation (RAG) pipelines, and chatbot technologies to automate and enhance business processes for our clients. This role involves building intelligent agents for use cases like compliance review, policy analysis, scheduling, and research monitoring while optimizing secure Azure cloud infrastructure. The ideal candidate will collaborate with cross-functional teams and stakeholders to prototype, deploy, and refine AI solutions, lead project planning and reporting, and ensure alignment with IT security and change management standards. Proficiency in Python, C#, data engineering, and cloud technologies is essential, along with strong communication skills, a collaborative mindset, and a proactive, detail-oriented approach. Key Responsibilities
  • Develop and implement AI-powered solutions using Azure OpenAI, RAG techniques, and chatbot integrations to automate client business processes.
  • Design and build AI agents that support use cases such as compliance checking, policy analysis, meeting scheduling, and grant/clinical trial monitoring.
  • Enhance and maintain the existing client AI Chat Tool, ensuring seamless user experiences and high-accuracy responses using AI technologies.
  • Configure and optimize secure cloud infrastructure within client Azure environment to support AI applications.
  • Collaborate with client stakeholders to define, prototype, test, and deploy AI use cases and assess automation’s impact on workload and cost efficiency.
  • Lead the development of project schedules, success metrics, and progress reports for leadership.
  • Ensure development activities align with client IT security standards, documentation practices, and change management processes.
  • Conduct User Acceptance Testing (UAT) and integrate user feedback to iteratively improve pilot tools.
  • Develop training materials and deliver recorded sessions for staff education.
  • Collaborate with the client IT Infrastructure and Cloud Teams, using tools such as ServiceNow for ticket tracking and change requests.
Qualifications
  • Education: Bachelor’s degree in IT, Computer Science, Mathematics, Engineering, or a related field (preferred).
  • Minimum 2 years applying AI/ML in real-world solutions.
  • Minimum 2 years with Microsoft Azure Cloud and Azure OpenAI services (Bot Services, Storage, Azure ML, etc.).
  • Proficient in programming languages such as Python and C#.
  • Strong background in data engineering (SQL, NoSQL).
  • Experience developing RAG pipelines, chatbots, and LLM-integrated applications.
  • Familiarity with ServiceNow for ticketing and change management.
  • Demonstrated ability to lead without formal authority and work collaboratively across teams.
  • Strong analytical thinking, problem-solving, and decision-making abilities.
  • Excellent written and verbal communication skills.
  • Ability to translate technical concepts to non-technical stakeholders.
  • High attention to detail and ability to manage multiple priorities in a fast-paced environment.
  • Self-motivated, proactive, and highly organized.
Compensation and Benefits The projected compensation target salary is $92,500. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience. LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits. Devoted to Fair and Inclusive Practices All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@lcginc.com. Securing Your Data Beware of fraudulent job offers using LCG’s name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or system@hirebridgemail.com emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at hr@lcginc.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Job Features

Job Category

Data Analyst, Data Science

Location: Hybrid Job Overview: We are seeking a skilled AI Solutions Developer to design and implement innovative, AI-powered tools using Azure OpenAI, Retrieval-Augmented Generation (RAG) pipelines,…View more

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Salary- $105.8K/yr – $174.8K/yr
Hybrid, Remote
Posted 5 days ago
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate results in service of our goals. And we want you to join us. We are hiring a Data Engineer for our CXO Fan Intelligence Data & Analytics team, reporting to the Director of Data Science & Information Architecture. This is an individual contributor role with no managerial responsibilities. Responsibilities
  • Data analysis – Identify, source, examine, clean, visualize and prep datasets for statistical analysis, perform EDA and apply statistical techniques to examine and interpret large datasets, identify trends, patterns and correlations
  • Modeling – Create or apply predictive and prescriptive models to datasets and perform model fit tests
  • Communication – Present complex analytical insights to Executives in business-friendly language through visual data products, reports and presentations and translate findings into their domain specific context
  • Partner Cultivation – build a business network with teams outside the WWCE department to understand requirements, define problem statements and create analytical approaches to support strategic decisions
  • Experimentation – design interventions based on prescriptive models and provide a plan for implementing the experiments and measure the results and finally provide recommendations for next steps
  • Understanding of current challenges surrounding AI: demonstrate understanding of concepts such as AI ethics, fairness, data leakage, bias and model drift
Required Qualifications
  • Master’s in Statistics, Operations Research or related field (we will consider a Bachelor’s degree in Statistics with relevant experience)
  • Technical skills
    • Expert in at least one Statistical Programming Language such as R or Python
    • Experience with relational and distributed databases
    • Experience with visualization tools such as RShiny, Streamlit, Tableau
  • Soft skills
    • Customer Advocate – You care what kind of experience our players are having when their games or services don’t work and you want to play your part in improving it
    • Programmer – You’re an expert at writing functions and identifying the right language for the right situation
    • People Analyst – You understand that your work contributes to improving people’s lives not predict when a machine is going to break down
    • Learner – You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that modern technique to good use you read about last month
    • Documentation Expert – You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why
    • Teacher & Student – You are patient and can field questions from team members around better coding practices or statistics related problems but you also never stop learning and understand the industry is constantly moving and you need to keep up
    • Experiment Designer – You can create up an A/B test in your sleep, but you don’t let a less than ideal A/B test set up stop you from finding some answers
    • You can turn data into pictures that people understand, you can boil down 3 months of work into 3 important takeaways, and you do it all while speaking with ease to high-level executives using something like PowerPoint as your sidekick
  • Other qualifications
    • 2+ years of experience with at least one Statistical Programming Language such as R or Python
    • 3+ years of experience with relational and distributed databases
    • 3+ years of experience with AWS SageMaker and Code Versioning tools such as GitLab
    • 3+ years of experience with visualization tools such as RShiny, Streamlit, Tableau
    • Experience with AWS SageMaker
This role is open to candidates in Austin with a hybrid work model requiring 3 days in the office per week.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Job Features

Job Category

Data Engineer, Data Science

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community tha…View more

Quick Apply Apply Now

Salary- $137K/yr – $178K/yr
Remote
Posted 5 days ago

Role Overview

The Data Science Project Manager (PM) is responsible for planning, coordinating, and delivering data-driven projects. They act as the bridge between data scientists, engineers, business stakeholders, and leadership to ensure projects are completed on time, within scope, and aligned with business goals. Unlike a purely technical role, the PM focuses on execution, communication, and strategy while having enough understanding of data science concepts to manage effectively.

Key Responsibilities

  • Project Planning & Execution

    • Define project scope, goals, deliverables, timelines, and resources.

    • Develop and manage project roadmaps, sprint planning, and task tracking (Agile/Scrum, Kanban, or hybrid).

    • Ensure alignment of data science projects with organizational strategy.

  • Stakeholder Management

    • Act as the point of contact between technical teams and business leaders.

    • Translate business needs into technical requirements and vice versa.

    • Manage expectations, communicate risks, and provide regular project updates.

  • Team Coordination

    • Coordinate activities across data scientists, data engineers, analysts, and software developers.

    • Facilitate collaboration between cross-functional teams.

    • Remove blockers and resolve conflicts within the team.

  • Quality & Risk Management

    • Monitor project risks, dependencies, and constraints.

    • Ensure proper data governance, compliance, and ethical AI considerations.

    • Oversee testing, validation, and delivery of ML models or analytics solutions.

  • Performance & Delivery

    • Track KPIs, project milestones, and success metrics.

    • Ensure projects deliver actionable insights or deployable AI/ML solutions.

    • Manage project budgets and resources effectively.

Required Skills & Competencies

  • Project Management Skills: Agile, Scrum, Kanban, PMP or PRINCE2 certification (a plus).

  • Data Science Awareness: Understanding of machine learning, analytics, and data engineering workflows (not necessarily coding expertise).

  • Communication & Leadership: Strong stakeholder communication, conflict resolution, and team leadership skills.

  • Analytical Thinking: Ability to translate data-driven results into business impact.

  • Tools: Jira, Trello, Asana, MS Project, Confluence, or similar project management tools.

Job Features

Job Category

Data Engineer, Data Science

Role Overview The Data Science Project Manager (PM) is responsible for planning, coordinating, and delivering data-driven projects. They act as the bridge between data scientists, engineers, business …View more

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