Remote Data Jobs • Machine Learning

Lead and manage a dynamic team of data scientists, overseeing the team's sprints, workload reviews, OKR and goal setting, and regular career planning. Align Data Science initiatives with the company’s strategic direction and ensure delivery of our strategic goals. This role is based mainly remotely with some travel to our Oxford based office.

Your Master thesis aims to assess the efficacy of LLM-based rerankers for patent retrieval. You will research state-of-the-art methods from the literature and analyze their performance in the context of patent data. You will implement computational experiments to identify advantages over prior methods, as well as areas for improvement and develop novel approaches to address identified limitations.

As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams. Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs. Turn data into measurable impact across Lime.

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.

As a Senior Data Scientist I, Analytics, you will apply your expertise in analytics and machine learning to advance Alma’s capabilities in Revenue Cycle Management (RCM). You will analyze opportunities to reduce claim submission errors and build ML models to predict patient financial responsibility. You will collaborate with product managers, software engineers, and designers to define and execute on the RCM product roadmap.

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.

Transform complex data into actionable insights as a Data Scientist at Ballard Spahr. Collaborate with various departments to enhance decision-making processes and contribute to the firm’s strategic objectives. This is a unique opportunity to work with diverse datasets, deliver innovative solutions, and drive efficiency across our organization.

As a Data Scientist on the AI Optimization team, you will design and optimize intelligent systems that power core product experiences. You will transform rich data into models that drive automation, personalization, and smart decision-making at scale. This role blends applied science and analytics, focused on building adaptive ML systems that evolve continuously and make a tangible impact.

As Senior Data Scientist, you will build data products that empower customers to run their business better, working cross-functionally with data, engineering, product, and design teams. You will work with business-critical company data, including money flows, bank transactions, invoices, and general ledger records to solve specific customer problems.

As a Senior Data Scientist, you will be a key member of the Consumer Analytics team, shaping how data science informs the customer journey. Your primary focus will be on ABCmouse.com® and Adventure Academy™, where you will build models and conduct in-depth analyses to influence product strategy and business growth. You'll collaborate with product, engineering, and marketing teams to translate data into actionable insights and embed data science capabilities.