Data Science & Machine Learning Jobs

Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies.. Write and maintain efficient, reproducible data pipelines using Python, R, SQL, or similar tools.. Skilled in building insightful visualizations using tools like Tableau, Superset, Power BI, or Looker.. Principle Geospatial Scientist (Data Publishing/Cataloging Manager Director, Commercial Analytics & Data Science Washington, DC $181,136.00-$205,000.00 2 weeks ago. Managing Consultant Financial Modeler Data Scientist Data and Analytics Associate / Senior Analyst - Portfolio Management & Business Analytics Group Senior Benefits Data & Operations Analyst Washington, DC $85,100.00-$127,700.00 1 week ago

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information.. Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests. Working understanding of the business risks associated with applying LLM in a business. Modern family benefits, including adoption and surrogacy. LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries.

Extract, transform and load (ETL) structured and unstructured data into Databricks Unified Analytics Platform.. Perform analytics in Databricks Unified Analytics Platform.. Experience applying data science techniques, including machine learning, deep learning, statistical modeling and/or data visualization to solve challenging business problems.. Experience in one or more programming languages (Python, R, Java, Scala, SAS, JavaScript) and Linux scripting.. Experience in Databricks products, or extensive experience in Apache Spark.

Senior Research Engineer - Enterprise Products Join to apply for the Senior Research Engineer - Enterprise Products role at NVIDIA. Join to apply for the Senior Research Engineer - Enterprise Products role at NVIDIA. Senior Research Engineer - Enterprise Products 2 weeks ago Be among the first 25 applicants. 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow).. Senior Deep Learning Compiler Engineer - CUDA Washington, United States $148,000.00-$287,500.00 2 weeks ago

Join to apply for the Principal Product Manager - Artificial Intelligence role at Splunk. Splunk is looking for an enthusiastic, and driven Principal Product Manager to drive the future of the next generation of AI capabilities across our product portfolio supporting our AI/ML Platform, tools and Agentic AI. In this role, you will be responsible for deep integration of generative AI and machine learning with a focus on unified security analytics, full stack observability and real-time visibility of streaming data.. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses.. Principal Product Manager - Data Management, Splunk PlatformSenior Product Manager, SASE WARP Device Client. Principal Product Manager (Remote Eligible)

Serve as chief architect and advisor on high-impact government projects involving AI for cybersecurity, NLP, predictive analytics, and robotic process automation (RPA). Proficiency in tools such as Python, PyTorch, TensorFlow, Docker, Kubernetes, R, NLP pipelines, and MLflow. Machine Learning Engineer, AI (FULLY REMOTE) Washington, DC $176,600.00-$225,900.00 2 weeks ago. Senior Principal Machine Learning Engineer-AI (FULLY REMOTE) Washington, DC $242,400.00-$363,600.00 1 week ago. Machine Learning Engineer, AI (FULLY REMOTE) McLean, VA $176,600.00-$225,900.00 2 weeks ago

Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to creditultimately creating a more inclusive financial system.. Trusted by more than 400 customersincluding industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and SquareOcrolus stands at the forefront of AI innovation in fintech.. The data science team at Ocrolus builds high-quality, impactful analytics and machine-learning based products that empower lenders to make better credit, fraud, and operational risk decisions.. Examples of data science initiatives include: using NLP/LLMs to classify transactions into standardized categories, training gradient boosting trees to predict loan default probability and loss-given-default based on transactional data, and building an entity resolution system to match financial documents across time with a specific borrower. Excellent SQL skills and comfort working with large and complex data warehouses (Snowflake/Postgres)

The Transactions Data Warehouse team at Zillow is a member of the Analytics Data Engineering organization and works closely with product, analytics, and AI teams.. Your work will have a direct impact on the design and implementation of data engineering solutions that improve the efforts of our AI, Marketing, and Data Science teams, thus enhancing Zillow's offerings for customers.. Extensive experience with modern data technologies such as Spark, Flink, Kafka, and Airflow.. Experience with Databricks. Understanding of data visualization tools (e.g., Tableau, Power BI).

The Department of Homeland Security (DHS) seeks a Data Analyst to support the Business Resource Integration Dashboard for Government Efficiency (BRIDGE) initiative.. Clean, transform, and integrate disparate datasets from financial systems, HR platforms, procurement tools, and asset management systems into a unified BRIDGE analytics environment.. Develop automated ETL pipelines to aggregate and validate data from legacy and modern sources (e.g., SAP, ServiceNow, custom databases).. Document data lineage, quality checks, and metadata for auditable analytics.. Proficiency in SQL, Python/R, Power BI/Tableau, and ETL tools (e.g., Alteryx, Informatica).

unstructured data sets (TBs+ range).. Aurora, Snowflake, Databricks, Amazon Redshift.. Ability to use infrastructure as code (IaC) such as. Terraform, AWS CloudFormation to build and. AWS Developer - Associate

Sr Staff Machine Learning Engineer, GenAI. We are looking for a Senior Staff Machine Learning Engineer to help us develop and grow new machine learning driven products and tools.. Deep understanding of fundamental machine learning concepts, including deep learning, natural language processing, large language models, and reinforcement learning, with proven expertise in one or more of these areas.. Experience with tooling in the AI ecosystem, that are open source and services in the cloud(such as GCP, AWS, Azure). We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientation gender identities, and expressions.

The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product.. We are seeking a Research Engineer to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning.. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).. Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.

As our Lead Graph Intelligence specialist, you will be the spearhead of cutting-edge research projects.. Leveraging your profound expertise in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune, Ontotext GraphDB), distributed graph processing frameworks (e.g., Apache Spark GraphX, Dask-Graph), and leading GML libraries (e.g., PyTorch Geometric, DGL, Spektral), you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures.. Research & Publication Acumen: A track record of contributing to cutting-edge research, including peer-reviewed publications in top-tier conferences or demonstrated experience in driving novel solution development from concept to prototype.. Healthcare Data Familiarity: Understanding of healthcare data domains (claims, clinical, EMR) and related ontologies or standards (e.g., SNOMED CT, ICD) is a significant plus.. Data Analysis with SQL, BigQuery

The Chief Digital and Artificial Intelligence Office (CDAO) is a Principal Staff Assistant (PSA) responsible for the acceleration of the adoption of data, analytics, and Artificial Intelligence (AI) to generate decision advantage across the Department of Defense (DoD).. Whether you're a seasoned engineer, research scientist, or technologist passionate about building real-world AI capabilities, we invite you to join our talent pipeline and explore impactful opportunities that directly support the Department of Defense (DoD).. Artificial Intelligence & Machine Learning: Development, deployment, and optimization of AI/ML models for real-world mission use cases.. MLOps & Data Engineering: Automating and optimizing ML pipelines, model deployment, and data infrastructure at scale.. AI Policy, Ethics, & Assurance: Applying responsible AI frameworks, fairness audits, and model risk evaluation.

Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field. Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch). Knowledge of data governance, security, and data quality standards in secure environments. Principle Geospatial Scientist (Data Publishing/Cataloging Manager Director, Commercial Analytics & Data Science Washington, DC $181,136.00-$205,000.00 2 weeks ago. Managing Consultant Financial Modeler Data Scientist Data and Analytics Associate / Senior Analyst - Portfolio Management & Business Analytics Group Senior Benefits Data & Operations Analyst Washington, DC $85,100.00-$127,700.00 1 week ago

Become a part of our caring community and help us put health first. Master's Degree and 3+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions.. Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch. At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested. Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company.

We are seeking a Lead Solutions Consultant who is ready to play a crucial role within a rapidly growing and high-performing organization, and who brings demonstrated impact selling and delivering high-tech services in both federal and commercial healthcare markets.. You will partner with and build strong relationships with our clients' staff and management in the government and corporate sectors, providing business analytics, artificial intelligence, and IT solutions for mission-centric problems.. Help derive insightful, strategic recommendations through core management consulting skills combined with data science / machine learning applications.. At least a Bachelor's degree in a quantitative discipline (statistics, economics, mathematics, computer science, electrical engineering, or a related scientific discipline).. Familiarity with the following programming languages: SAS, Python, R and SQL.

We encourage candidates in physics, computer science, or data science with a vibrant research and teaching profile that engages with artificial intelligence to apply. Applicants should have a PhD or an anticipated PhD completion by August 2025 in physics, computer science, data science or a related field. This position is part of a university-wide initiative to enhance our capacities in artificial intelligence, machine learning, and data science. Our campus is within easy reach of the many science centers located in and around the nation’s capital, including NASA, NOAA, NIST, DOE, NSF, NIH, DOD, and many other federally funded labs and research centers. The annual salary ranges based on rank are as follows: Assistant Professor $90,000-101,000; Associate Professor $101,000-150,000; Professor $150,000-220,000.

Per Legal Times (2023): "A Preferred Law Firm for In-house Lawyers". National "Tier 1" in Patent Law. Seeking a registered Patent Attorney or Agent with a Bachelor’s degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics, or a related technical field involving AI/ML. Experience with AI models, neural networks, and deep learning is required. Domain experience in autonomous vehicles, robotics, natural language processing, wireless communications, computer vision, or related AI fields is preferred. The candidate should be registered to practice with the USPTO; attorney candidates should also be an active member and in good standing of their home office bar or eligible to waive into the appropriate bar.

Senior Manager I, Data Science and Analytics Join to apply for the Senior Manager I, Data Science and Analytics role at Inroads. Join to apply for the Senior Manager I, Data Science and Analytics role at Inroads. Advanced understanding of statistical programming languages, preferably SQL, R, and/or Python. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.. Principle Geospatial Scientist (Data Collection/Quality Manager) Life Sciences - Manufacturing AI Solutions, Manager McLean, VA $130,800.00-$241,000.00 1 week ago