Top Data Science Jobs in Washington DC,
As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.
As a Staff Data Scientist, you will drive user acquisition and monetization strategies by analyzing data related to user engagement, revenue metrics, and marketing budgets. You will collaborate with product teams to optimize user conversion and retention, and mentor other team members in data-related tasks.
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
The Data Scientist, Product Development will enhance data quality and usability through the design of systems and tools, engage with cross-functional teams to define product requirements, and leverage statistical techniques to improve Verantos' real-world evidence platform.
Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.
The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.
The Forest Scientist role involves identifying and developing high quality forest carbon projects, conducting due diligence, monitoring and verifying carbon projects, and writing reports and publications. The position focuses on utilizing forestry systems to mitigate climate change and assessing the co-benefits of forestry actions.
As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.
The Data Scientist-I position involves analyzing large datasets to support business decisions in the pharmaceutical industry. Responsibilities include designing experiments, developing analytic models, collaborating with stakeholders, and translating business requirements into data models. The role requires creativity in problem-solving and effective communication of findings.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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