Top Data Science Jobs in Washington DC,
The Data Science Manager will lead the Pricing and Promotion Optimization team at Tiger Analytics, driving product strategies and overseeing roadmap development. Responsibilities involve analytics communication, team leadership, stakeholder collaboration, and market analysis to enhance pricing initiatives for CPG clients.
As a PK Scientist, you will design and conduct quantitative pharmacology studies, analyze and interpret data, prepare regulatory summaries, and maintain client relationships. You will also prepare scientific publications and utilize your knowledge in pharmacometrics and related software.
The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.
The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.
The Senior Computer Vision Scientist will develop predictive models using 3D data, utilizing machine learning and statistical modeling techniques. They will clean and prepare data for analysis, leverage cloud resources for data processing, and extract data from databases, while continuously iterating on solutions in a collaborative environment.
As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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