Top Remote Data Science Jobs
As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.
As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures, ensuring data reliability and quality for pricing models. Collaborate with data science, engineering, and product teams to operationalize data science assets and deliver real-time market offerings.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
The Senior Manager I, Data Science and Analytics will lead a team to deliver analytics services for healthcare.gov communications. This role includes mentorship, project design and evaluation, ensuring quality of analytical products, and providing strategic insights based on data findings.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
As a Data Scientist/Senior Data Scientist at Wisetack, you will drive data-driven decision-making in areas such as credit risk and fraud. Responsibilities include designing and deploying predictive models, conducting analyses, and collaborating with teams to integrate solutions into products, ultimately aiming to enhance consumer lending products.
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.
As a Senior Data Scientist at Instacart, you'll own analytical frameworks to guide product development, design experiments, build statistical models, and create simulations for product interventions. You'll be a strategic partner in driving data-driven decision-making and influencing product usability improvements.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.
The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.
The Associate in Compliance Technology Data Science at Coinbase will be responsible for producing data extracts and metrics via SQL, translating reporting requests, building compliance reports, and managing workload to deliver accurate reports and dashboards.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
As a Staff Data Scientist at Coinbase, you will lead pricing experimentation, develop pricing models, initiate data pipelines, and provide insights for the pricing strategy while collaborating with stakeholders and communicating findings to leadership.
As a Senior Manager of Data Science - Quality at Airbnb, you will lead strategic efforts to define, measure, and improve quality for hosts and guests. This involves guiding a team of data scientists, ensuring modeling accuracy, collaborating with product and engineering teams, and developing innovative strategies for user engagement and satisfaction.
The Senior Data Science Engineer will develop data solutions, collaborate with teams, oversee algorithms for data analysis, and support junior engineers. Responsibilities include managing scalable data processing platforms and making informed decisions while contributing to business goals.
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and developing predictive models. The role involves analyzing data to reduce drug spend, increase medication safety, and maximize staff productivity in hospital pharmacies.
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.
Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists in leveraging data for enhancing healthcare services. Responsibilities include translating business goals into plans, managing a team, and collaborating with cross-functional teams. The role offers a salary range of $174,400 - $228,900 per year and is based in New York City, Tempe, or Los Angeles with remote options available for residents of specific states.
Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
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