Top Senior Level Data & Analytics Jobs in Washington DC,

As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.

The Senior Pricing Analyst will analyze and develop pricing strategies for digital solutions, collaborating with sales, finance, and marketing teams. Responsibilities include conducting market research, creating pricing models, optimizing profitability, and monitoring pricing performance across the CHEP North America organization.

The Senior HRIS Analyst will manage Workday administration, enhance process efficiencies, and support stakeholders as a Workday SME. Responsibilities include maintaining HR data, developing documentation, testing processes, and collaborating with HR and IT teams to optimize system functionality and user experience.

The Senior Consultant will design, build, and test custom data warehouse and BI solutions for clients, translate business requirements into technical specifications, and develop data integration solutions. They will also lead product implementation and conduct training and workshops.

As the Director of Data & Analytics, you will lead a team to develop and scale data products offering critical insights to merchants. You will set the vision for the data strategy, manage the data roadmap, and collaborate with the Product leadership team to ensure data-driven decisions enhance product development.

As a Staff Data Scientist at Octane, you will lead projects in areas such as lead generation models, credit risk analytics, and fraud detection. You will leverage advanced machine learning techniques throughout the model lifecycle, from development to deployment, while mentoring junior team members and collaborating with business stakeholders to enhance decision-making with data insights.

As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.