Top Data Science Jobs in Washington DC,
Looking for a Distinguished Engineer with 18+ years of experience in cloud architecture, data science solutioning, and machine learning design. Must have strong expertise in Python, Java, C#, and cloud platforms like AWS, Azure, or Google Cloud. Responsibilities include solution design, Agile practices, SOA, and microservices architecture.
The Operations Analyst will support the Revenue Cycle Management team by analyzing business operations, tracking metrics, and delivering reports. Responsibilities include monitoring client profitability, managing expenses, developing dashboards, and conducting executive reporting, requiring strong communication and analytical skills.
As a Contract Fax Filing & Data Accuracy Specialist, you will review and file incoming patient care faxes accurately, log care gaps, and ensure compliance with healthcare standards. This role is crucial for maintaining up-to-date patient records and supporting continuity of care in a clinical setting.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.
As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
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