Data Scientist jobs at Meta

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

About the role As a Senior Data Scientist, you will make an impact by engineering modern businesses to improve everyday life. You will be instrumental in driving new product development within a collaborative team environment, writing production code in both run-time and build-time environments. You will be a valued member of the AI and Analytics team and work collaboratively with Managers, team members and clients. In this role, you will: · Develop and implement LLM-based applications tailored for in-house legal needs, ensuring they align with Cognizant's commitment to excellence and innovation • Evaluate and maintain our data assets and training/evaluation datasets, ensuring they meet the highest standards of integrity and quality. • Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer-centric mindset. • Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs, working as one team. • Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables. • Evaluate AI/ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives. Work model: Hybrid We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Raleigh, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered · Strong hands-on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms. · Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. · Practical experience in Natural Language Processing methods and libraries such as spa Cy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT. · Practical experience with large language models, prompt engineering, fine-tuning, and benchmarking using frameworks such as LangChain and LlamaIndex. · Strong Python background. · Knowledge of AWS, GCP, Azure, or other cloud platforms. · Understanding of data modeling principles and complex data models. · Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB). These will help you stand out · Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred. · Knowledge of API development, containerization, and machine learning deployment is highly preferred. · Experience with ML Ops/AI Ops is highly preferred. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* Salary and Other Compensation: Applications will be accepted until December 30 2025 The annual salary for this position is between $120,000 -$150,000 USD depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance· Paid holidays plus Paid Time Off· 401(k) plan and contributions· Long-term/Short-term Disability· Paid Parental Leave· Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

MANTECH is seeking a motivated, career and customer-oriented Software Data Engineer to join our team in the Springfield, VA area. Responsibilities include, but are not limited to: Provide expert guidance on Enterprise Asset Management; Identify, recommend, and implement agreed upon leading industry practices, process methodologies, new technologies, and streamlined approaches that afford the client the ability to improve system performance. Provide support to maintain IBM's Maximo to ensure that all Maximo Users have a stable platform to perform daily operations; support reporting capabilities and requirements that streamline and reduce where possible, the manual input of existing data. Provide technical and business-level assistance, incident resolution, and daily support to the Maximo user community; maintain and enhance the functionality, reliability, availability, performance, stability, sustainability, and security of the Maximo application and its databases and tools. Implement best practices, create and improve existing Maximo workflows to manage work management, logistics, and property management processes; oversee the validation and testing of deliverable products in accordance with our customer's approved processes. Provide installations, customizations and design changes for software and hardware products; provide support to a wide array of customers as part of a complex team of multiple contractors and government personnel. Write SQL scripts to support various aspects of customer support and Maximo Development requirements; develop and manage queries, ad hoc reports, and KPI's. Manage and observe data quality and health throughout front-end database; ability to handle pressure and manage multiple tasks in a fast-paced environment. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology and 9 years of relevant experience. Experience with JavaScript, Linux/Unix, Perl, Shell, Java, Ruby, PHP, Python, Hands-On SQL, Microsoft ASP.NET MVC, Web API, Node.js. DoD 8570.01-M compliant, IAT II. (CCNA Security, CySA+, GICSP, GSEC, Security+, or SSCP) Troubleshoot and resolve issues related to OpenShift, Kubernetes, and Linux environments. Red Hat Certified Specialist in OpenShift Administration or similar certification. Requires understanding of the RedHat OpenShift cluster to include basic operations of backup, restore and failover/redundancy of services. Preferred Qualifications: 4+ years of Maximo Development experience. Maximo versions: at least Maximo 7.6. Able to work on upgrades and development on 7.6.1.2. Maximo modules: must be able to work on all Maximo modules and functionalities, including Work Order Management, Asset Management, Preventive and Corrective Maintenance, Configuration, Scripting, Report Development, Maximo Interfaces with other systems like ERP. Development and maintenance experience with Maximo including TRM rules, Maximo automation scripting, BIRT Reports Development, and work order reports. Provide service for GIS geodatabase editing, data creation and maintenance for applications and as needed. Experience of ArcGIS Server management tools to deploy and manage map and web services Clearance Requirements: Must have current/active TS/SCI clearance. Physical Requirements: Must be able to remain in a stationary position 50% The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer. The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

***At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We thank you for your understanding.*** Data Scientist - Contract (Hybrid) Schedule: Hybrid - Onsite Tuesdays & Wednesdays Duration: Through May 31, 2026 Rate: $60-85/hr W2 + benefits About the Role We are seeking a Data Scientist to develop advanced, data-driven solutions leveraging machine learning, statistical modeling, and generative AI. In this role, you will explore complex, high-dimensional datasets, identify patterns and opportunities, and design predictive models and algorithms that drive meaningful business improvements. You'll use a flexible, analytical approach to prototype new capabilities, enhance existing products, and deliver insights that support large-scale decision-making. What You'll Do Conduct exploratory data analysis to uncover insights and inform model development. Design, build, and evaluate predictive models, simulations, and advanced algorithms. Apply GenAI, LLMs, context engineering, and prompt strategies to real-world business problems. Clean, transform, and analyze large datasets to support enterprise initiatives. Develop, test, and maintain scalable codebases using industry best practices and CI/CD workflows. Collaborate cross-functionally to deploy solutions that deliver measurable impact. Communicate findings clearly to both technical and non-technical partners. Required Qualifications Bachelor's, Master's, or PhD in Mathematics, Statistics, Operations Research, Engineering, Physics, Computer Science, or related field. 3-4+ years of relevant industry experience in data science or applied machine learning. Strong understanding of ML methods, statistical concepts, optimization, data structures, and simulations. Experience with GenAI, LLMs, prompt strategies, and LLM evaluation techniques. Hands-on experience working with large datasets and developing production-grade models. Proficiency in programming and working within collaborative code environments. Experience deploying solutions with large-scale business impact. Self-driven with strong problem-solving and communication skills. Nice to Have Experience with data visualization, advanced simulation techniques, or optimization tools. Familiarity with large-scale enterprise environments. Benefits: York Solutions Offers a generous benefits package for eligible full-time employees: BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) Delta Dental plan with 2 free cleanings and insurance discounts Eye Med Vision with annual check-ups and discounts on lens Life and Accidental Death Insurance paid by company John Hancock 401(k) Retirement Plan with discretionary company match Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. Flexible work environment with some remote working opportunities Strong fun and teamwork environment Learning, development, and career growth

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

itD is seeking a Data Scientist to build and refine models that support forecasting, operational decision-making, and performance insights across key business areas. This role will translate complex datasets into clear recommendations that improve efficiency and guide strategic planning. The ideal candidate has a strong foundation in Python and statistical modeling, along with hands-on experience in machine learning and operational analytics. This long-term W2 opportunity is hybrid in Fremont, CA. Pay Rate: $75-90/hr per hour, depending on experience. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Job Responsibilities: Develop forecasting models to support operational and business planning. Analyze large datasets to identify trends, performance indicators, and predictive insights. Build and validate machine learning models to strengthen data-driven decision-making. Collaborate with cross-functional partners to translate findings into practical recommendations. Create clear data visualizations and summaries for leadership and stakeholder presentations. Maintain and refine existing analytical models based on changing business needs. The internal responsibilities will be as follows: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material. (Blogs, media material). Build out material to contribute to Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required qualifications and skills Strong proficiency with Python for data analysis and model development. Experience building statistical and forecasting models. Experience with machine learning techniques and model validation practices. Ability to translate analytical results into clear business recommendations. Experience handling large-scale datasets and structured data workflows. Preferred qualifications and skills Background in operational analytics or performance optimization. Familiarity with data visualization tools for reporting and presentations. Experience working within large or enterprise environments. Education Bachelor's degree in a relevant field or equivalent work experience required. Company description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit *************************** to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at ********************** and let us know the nature of your request and your contact information. Additional info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today

NO 3rd parties. Only LOCAL Minnesota candidates will be considered. This role is contract-to-hire and is located in Minneapolis's southwest metro. Digital Analyst (Mobile Analytics) The Client is seeking a Digital Analyst (Mobile Analytics) who will play a key role in understanding and optimizing the mobile product experience. This position is all about transforming complex data into clear, actionable insights that enhance user engagement, improve product performance, and inform digital strategy. As part of a collaborative analytics team, this role partners with product management, marketing, and engineering groups to measure success, uncover opportunities, and support data-driven decision-making. It's an exciting opportunity for someone who thrives on problem-solving, enjoys exploring data, and wants to contribute to a culture built on insights and innovation. What You'll Do Collect, analyze, and interpret data from mobile app usage, user behavior, and feature performance. Create and maintain interactive dashboards and meaningful reports using BI tools such as Domo and Adobe Analytics. Monitor key performance indicators (KPIs) to identify patterns, opportunities, and areas for product improvement. Collaborate closely with cross-functional partners to define analytics requirements aligned with business goals. Participate in Agile ceremonies, including sprint planning, retrospectives, and analytics reviews. Ensure accuracy and data integrity through validation and quality checks. Document KPI definitions, dashboard logic, and data sources for clarity and long-term usability. Recommend process enhancements and identify ways to automate or streamline reporting. Partner with senior analysts to advance the organization's data maturity and analytical capabilities. Qualifications Bachelor's degree in Business, Analytics, Marketing, Economics, Statistics, Computer Science, or a related discipline. 1-4 years of experience in analytics, BI, or data visualization (experience with mobile data preferred). Strong understanding of BI platforms such as Tableau, PowerBI, Adobe Analytics, Snowflake, or similar tools. Proficiency in SQL for data exploration and analysis. Excellent problem-solving, communication, and collaborative skills. Strong attention to detail and comfort working in a dynamic, fast-paced environment. Preferred Experience Background in mobile analytics with a focus on engagement or retention metrics. Familiarity with Agile or Scrum frameworks and tools like Jira and Confluence. Ability to visualize data in a way that clearly communicates insights to stakeholders. Curiosity and enthusiasm for learning new tools, technologies, and business processes. Experience working on analytics initiatives within large or matrixed organizations.

About the Job WE are seeking a skilled and motivated professional with 8 years of total IT experience, including 3 years in Master Data Management (MDM) and at least 2 year of hands-on experience with the Profisee platform. The ideal candidate will bring strong technical expertise, analytical thinking, and collaborative spirit to help drive data excellence across our organization. Your Role As a Master Data Management Specialist, you will: Design, implement, and maintain MDM solutions using the Profisee platform. Collaborate with business and technical teams to define and manage master data domains. Develop and optimize SQL queries and ETL processes for data integration and transformation. Monitor data quality and ensure compliance with governance standards. Support ongoing enhancements and troubleshoot issues related to MDM systems. Your Skills and Experience We're looking for someone with: Proven experience in Profisee MDM platform (minimum 2 year). Strong proficiency in SQL, data modeling, and ETL tools. Solid understanding of data integration and data governance principles. Experience with cloud platforms like Microsoft Azure (preferred). Familiarity with other MDM tools and technologies (a plus). Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief

Are you an experienced Statistician with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Statistician to work at their company in Rahway, NJ. Primary Responsibilities/Accountabilities: Develop study design (DOE), statistical analysis, and reported output using in-house developed JMP tools in fast-paced, critical path projects. Participate in process characterization teams to understand requirements to design study experiments and discuss results. Experiment design entails having joint conversations with the Process scientists/engineers to discuss the issues and constraints on study design and execution. Work with Process Scientists/Engineers to complete study reports as needed. Qualifications: Minimum education: Master's in statistics/biostatistics or related discipline (e.g., chemical, industrial engineering) with a minimum of 2 years' experience, or PhD or equivalent degree with a minimum of 1 year relevant work experience. Proven experience applying DOE to real-life process development problems. Solid knowledge of statistical analysis methodologies and experimental design. Strong hands-on experience with JMP and working knowledge of other statistical and data processing software (e.g., Minitab) Must also demonstrate the ability to learn, be proactive and motivated, and consistently focus on details and execution. Strong oral and written communication skills. Able to function effectively in a team environment. Exposure working with other scientists - the candidate must be willing to have a regular dialogue with team members. Experience with Design of Experiments. Preferred would be someone who has experience in the industry- Bio-pharma/Medical device/ Pharma-internships-actual co-op with the companies/industry for a minimum of 2 years. This is a hands-on project facing an opportunity. Industrial engineer/Chemical engineer background DOE experience and statistical analysis Process development. Industry: Medical device/ Pharma-internships-actual co-op with the companies/industry for a minimum of 2 years.

Responsibilities Provide F-F support and mentoring for site users on Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic, AIP Agent Studio, etc. ad-hoc mentoring sessions with users Regular Office Hours for drop-in sessions (weekly) Regular Lunch n Learn (or similar) sessions (monthly) Coordinate with central teams on onsite training and hackathons Build and run campaign on targeted Palantir Applications to develop deep expertise at site (eg Workshop, AIP) Issue management: responsible for tracking and following up on site-specific Palantir support tickets through to resolution. Site testing: participate in Beta/Early Access testing for centrally developed Palantir Applications (or site applications promoted to central managed). Data quality management and governance: responsible for tracking and following up on Palantir Ontology/Dataset related issues raised at site but not addressed by regular Palantir support ticket. Liaise with central team for data editing permissions and data quality metrics/KPIs. Develop ‘site Palantir skills development plan' for the site; 12 month roadmap of departments/users for targeted skills development campaign. Includes understanding of current platform utilization and agree targets with site LT. R&D - develop documented and re-usable examples of how specific Palantir Applications could be useful for the site with actual data; site users can follow to build their own applications. Experience Expertise in key Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic and AIP Agent Studio. Expertise in the Palantir ecosystem: understanding role of Ontology, Datasets, code repositories and how permissions are managed in the platform. Knowledgeable in best practices for building and scaling applications developed in Palantir Foundry, including code repositories and branching. Useful: programming (Python and/or typescript, SQL) Useful: knowledge of the refining/downstream business Excellent soft skills - working with end-users and teaching small groups on technology

required ) About the job: We're seeking a Lead Data Engineer to drive innovation and excellence across our Marketing Technology data ecosystem. You thrive in dynamic, fast-paced environments and are comfortable navigating both legacy systems and modern data architectures. You balance long-term strategic planning with short-term urgency, responding to challenges with clarity, speed, and purpose. You take initiative, quickly familiarize yourself with source systems, ingestion pipelines, and operational processes, and integrate seamlessly into agile work rhythms. Above all, you bring a solution-oriented, win-win mindset-owning outcomes and driving progress. What you will do at Sogeti: Rapidly onboard into our Martech data ecosystem-understanding source systems, ingestion flows, and operational processes. Build and maintain scalable data pipelines across Martech, Loyalty, and Engineering teams. Balance long-term projects with short-term reactive tasks, including urgent bug fixes and business-critical issues. Identify gaps in data infrastructure or workflows and proactively propose and implement solutions. Collaborate with product managers, analysts, and data scientists to ensure data availability and quality. Participate in agile ceremonies and contribute to backlog grooming, sprint planning, and team reviews. What you will bring: 7+ years of experience in data engineering, with a strong foundation in ETL design, cloud platforms, and real-time data processing. Deep expertise in Snowflake, Airflow, dbt, Fivetran, AWS S3, Lambda, Python, SQL. Previous experience integrating data from multiple retail and ecommerce source systems. Experience with implementation and data management for loyalty platforms, customer data platforms, marketing automation systems, and ESPs. Deep expertise in data modeling with dbt. Demonstrated ability to lead critical and complex platform migrations and new deployments. Strong communication and stakeholder management skills. Self-driven, adaptable, and proactive problem solver Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $125,000 - $175,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Job Title: Sr. Cloud Data Engineer Duration: 12 months+ Contract Contract Description: Responsibilities: Maintain and optimize AWS-based data pipelines to ensure timely and reliable data delivery. Develop and troubleshoot workflows using AWS Glue, PySpark, Step Functions, and DynamoDB. Collaborate on code management and CI/CD processes using Bitbucket, GitHub, and Bamboo. Participate in code reviews and repository management to uphold coding standards. Provide technical guidance and mentorship to junior engineers and assist in team coordination. Qualifications: 9-10 years of experience in data engineering with strong hands-on AWS expertise. Proficient in AWS Glue, PySpark, Step Functions, and DynamoDB. Skilled in managing code repositories and CI/CD pipelines (Bitbucket, GitHub, Bamboo). Experience in team coordination or mentoring roles. Familiarity with Wealth Asset Management, especially personal portfolio performance, is a plus

Duration of the Contract: 12 Months Possibility for Extension: Yes Candidate Location: Candidate MUST be a SC resident or willing to relocate to SC prior to starting the role at their own expense. Full job description attached below. Required Skill 3+ years of professional data modeling with ERWIN data or similar data modeling tool 3+ years' experience with Oracle 18/19 DBA and/or SQL Server 2019, 2022 SCOPE OF THE PROJECT: This role will be responsible for using data modeling tools on ORACLE and MS SQL databases: • Current state assessment report of existing ERwin models. • New or updated logical and physical data models in ERwin format (.erwin files). • Data dictionaries and model documentation. • Version-controlled repository of data models. • Identify data integrity and consistency issues. • Identify and aid with duplicate data resolution. • Provide reporting and recommendations to address these issues. • Weekly progress reports. • Final summary report at project closeout. DAILY DUTIES / RESPONSIBILITIES: • Create and update data models and documentation using ERWIN • Performing reverse and forward engineering of database structures. • Providing best practices for data modeling, metadata management, and documentation. • Designing, developing, and maintaining logical and physical data models using ERwin Data Modeler. • Ensuring database designs support scalability, integrity, and performance requirements. • Identify data integrity and consistency issues. Provide reporting and recommendations to address the issues. • Identify and aid with duplicate data resolution. • Collaborating with data architects, DBAs, developers, and business analysts to translate business requirements into data models. • Managing version control of data models and maintaining model repositories. • Supporting data governance and compliance initiatives through effective data modeling strategies. Same modeling activities may be required for MS SQL databases. ORACLE and MS SQL production support activities as needed and directed by the DBA manager. REQUIRED SKILLS (RANK IN ORDER OF IMPORTANCE): • 3 Years Professional Data Modeling with ERWIN Data or similar data modeling tool • ORACLE 19 DBA and/or SQL SERVER 2019, 2022 PREFERRED SKILLS (RANK IN ORDER OF IMPORTANCE): • Sql server dba certification • dd boost to support backup and restore operations for oracle database • oracle grid control • oracle asm REQUIRED EDUCATION: High School Diploma PREFERRED CERTIFICATIONS: Oracle Certified Associate Or Other Oracle Certification

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement San Mateo, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-GD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$212,200-$318,200 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement San Diego, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-GD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $194,600 - $291,800 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

The clock is ticking the second an analyst spots a target. Every minute lost gives the adversary time to move, hide, or vanish completely-and right now, too much of the collection cycle is still stuck in manual steps. This is your rare opportunity to join in on supporting CENTCOM collection challenges. In the event of an analyst flagging a target, the Source Strategy Officer (SSO) builds the plan, nominations get entered into GEOINT Information Management Systems (GIMS), and hours, sometimes days pass before sensors are even pointed at the target. Your mission is to collapse that timeline. You'll be embedded with analyst and SSOs, building operational-grade Python automation in JEMA that takes GEOINT tasking from discovery to collection in minutes, sometimes seconds. This is your chance to watch your code trigger live tasking, integrate with GEOINT, SIGINT, ELINT, and OSINT to deliver a complete picture while it's still relevant. If you are ready to make this mission and see your work instantly impact operations, join XTS in supporting the National Geospatial-Intelligence Agency today! Requirements You have a current active Top Secret / SCI clearance You have achieved a Master's degree / Bachelor's degree + 2 years / Associate's degree + 3 years / 5+ years of relevant experience Advanced Python skills as you'll be writing automation and AI tools that have to run in live ops without failing. Expertise in JEMA as it's NGA's core GEOINT automation platform in order to start improving tasking workflows. Nice to Have Multi-INT background, understanding SIGINT, OSINT, ELINT, MASINT, HUMINT gives you advantage in building automation that works across multiple disciplines. Experience with Brewlytics, ArcPro, or similar GEOINT tools to integrate automation into analyst' current workflows. Additional programming languages such as R, SQL, HTML, JavaScript, etc. for more flexibility in how you deliver and present results. If you're ready to support CENTCOM AOR in building the tools that strip away delays and inefficiencies, giving operators the speed to act before the target moves, please send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.