Top Hybrid Data Science Jobs in Washington DC
Senior Manager, Data Science role at Capital One focusing on leveraging AI and ML technologies, particularly in NLP and LLMs, to develop innovative solutions for financial services. Responsibilities include leading cross-functional teams, building ML and NLP models, and translating complex ideas into business goals.
As a Principal Data Scientist at Capital One, you will partner with a cross-functional team to develop machine learning models for card fraud detection using technologies like Python, Conda, AWS, H2O, and Spark. The ideal candidate is innovative, technically skilled, statisically-minded, and proficient in handling big data. Basic qualifications include a Bachelor's Degree with 5 years of experience or a Master's Degree with 3 years of experience in data analytics.
Join the Data Science and Artificial Intelligence Department at The Aerospace Corporation to work on projects involving machine learning, deep learning, NLP, computer vision, and AI. Responsibilities include evaluating technologies, developing prototypes, collaborating with teams, and presenting results to stakeholders. This position offers a hybrid work model with minimum onsite work required. No salary information provided.
Hiring Data Scientists to bring predictive modeling to the clinical development ecosystem. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, and implementing ML Ops. Must be familiar with Python and machine learning techniques.
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Leading the Data teams at CarGurus, including Data Science, Data Engineering, and Product Data Analytics. Responsible for designing and implementing data strategies, overseeing data management, and staying up-to-date with emerging trends and technologies in the data space.
The Data Scientist at PwC is responsible for collecting domain context, defining hypothesis, conducting experiments with algorithms, developing models, producing pipelines, and communicating insights with stakeholders. This role requires expertise in Python, R, SQL, data science, machine learning, predictive modeling, and data visualization.
Seeking a senior data scientist to deliver data products and insights for game development and growth. Responsible for enabling data-driven decision-making and providing regular game health updates to partners and leadership teams.
The Data Scientist will be responsible for managing and analyzing in-house and customer data, developing predictive systems, creating algorithms, improving data quality, and implementing statistical analyses. They will work with engineering teams, customers, and research on deploying data analysis systems and applying data science to mission-specific content. Responsibilities include creating algorithms, developing metrics, providing thought leadership, and identifying AI methods for the organization. Qualifications include programming skills, creativity, understanding of distributed computing, and experience with database frameworks and Big Data analytics.
The Graph Data Scientist - Level III will lead the analysis of a global-scale knowledge graph and support a high-priority analytics project. Responsibilities include developing a mission-focused graph-enabled analytics platform, mentoring team members, and driving the adoption of data tools.
Top hybrid Companies in Washington DC Hiring Data + Analytics Roles
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