Remote Data Jobs • Data Science

Shape a data annotation program from the ground up, laying the foundation for how we deliver care for years to come. Clinical data annotation is the fuel that powers our AI models, and in this role, you’ll design the systems, teams, and processes that make it possible. Ensure every piece of data serves the purpose of delivering more human centered care for our patients.

The Senior Data Analyst will be the most senior team member with a strong technical background and will be responsible for leveraging Traackr’s extensive dataset to help clients optimize their influencer investment and performance, focusing on performance measurement, spend optimization, and return on investment.

Swish Analytics is hiring a Tennis Data Scientist to join our ever-growing team, as Data Science is at the core of the business. The team has true ownership and impact over developing core components of Swish's data products by ideating, developing and improving machine learning and statistical models that drive Swish’s core algorithms. They will develop contextualized feature sets using sports specific domain knowledge.

You’ll work closely with the Product and Engineering in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in customer demand insights & help assistance. You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts.

Waymark is seeking a Forward-Deployed Solutions Data Scientist to bridge the gap between data science innovation and real-world implementation, owning the technical lift of onboarding, productionizing models, and supporting live deployments. This role embeds data science expertise directly into customer implementations and is highly versatile, thriving at the intersection of technical execution, healthcare data expertise, and cross-functional collaboration.

Lead the Data Science team that's revolutionizing how AI learns from humans. You'll own the data science function powering the world's leading platform for human feedback, enabling AI developers to build safer and more capable models. Drive strategy with rigorous experimentation and causal inference, and develop the predictive models and intelligent systems that power our platform.

We are seeking a passionate freelance Research Scientist (PhD-level) with expertise in advanced statistical analysis and predictive modeling to deliver publication-ready results. You will work closely with our research team to advance scientific innovation and transform the future of medicine. Your missions include implementing and comparing predictive models applied to a large cohort and contributing to scientific writing.

As the Senior Product Growth Analyst at Close, you'll be embedded in the Growth team and act as a strategic partner, turning product and user data into actionable insights to drive experimentation, prioritization, and sustainable revenue growth. You will build our product analytics foundation and help Close transition from reactive growth efforts to a proactive, insight-led approach.

Develop and deploy machine learning (ML) models on large healthcare datasets, fostering a project through the entire model development lifecycle, including MLOps. Design rigorous experiments, optimizing model performance, interpretability, and actionable insights. Drive innovation by staying current with cutting-edge research in machine learning translating insights into scalable solutions. Collaborate with various teams to provide a data-driven perspective on business problems.

The Sr. Director, Data & Analytics will shape how Palmetto uses data and machine learning to make clean energy more affordable, accessible, and intelligent. This role will harness the power of data to deliver transformative insights and solutions that drive business and product growth and impact. Leading Palmetto’s Data Center of Excellence, the Sr. Director will own global data strategy and governance, enable company-wide business intelligence, foster a testing and experimentation mindset, and deploy ML and AI strategies to solve critical product and business problems.