We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Data Scientist (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in the United States.. We are seeking a Senior Data Scientist to transform large-scale datasets into actionable insights that drive impactful decisions across product, engineering, and business teams. In this role, you will leverage cutting-edge machine learning, predictive modeling, and data engineering techniques to analyze telematics, insurance, and third-party data. You will work closely with cross-functional stakeholders to design and deploy analytical solutions that inform product strategy and improve outcomes for end-users. The ideal candidate is highly technical, comfortable working with distributed systems, and thrives in a collaborative, fast-paced environment where data is central to decision-making.. Accountabilities. . Design, implement, and deploy advanced algorithms and machine learning models, including end-to-end processing pipelines.. . Explore new data sources and generate novel predictors to enhance product performance and risk assessment.. . Collaborate with data engineers, actuaries, and product teams to refine analytical approaches and support product offerings.. . Establish and follow best practices for data science, including code review, peer review, documentation, reproducibility, and compliance.. . Analyze large-scale datasets using distributed computing frameworks and ensure data quality and accuracy.. . Translate complex business and product requirements into well-defined analytical problems.. . Communicate insights and model results clearly to technical and non-technical stakeholders.. . . Bachelor’s degree with 4+ years of relevant experience, or Master’s/PhD with 2+ years as a Data Scientist or Machine Learning Scientist.. . 4+ years of experience applying data science techniques to real-world business problems.. . Strong programming skills in Python and experience with Spark, SQL, or equivalent big data tools.. . Experience building production-level ML solutions and working with cloud platforms (e.g., GCP, AWS, Azure).. . Familiarity with machine learning algorithms, predictive analytics, and distributed computing.. . Ability to work with large datasets and translate complex requirements into actionable analytical solutions.. . Excellent communication skills and the ability to explain technical findings to diverse stakeholders.. . Strong attention to detail and commitment to thorough documentation and reproducibility.. . Curiosity and eagerness to learn new tools, techniques, and methodologies.. . Preferred Qualifications:. . Experience in the insurance or mobility/telematics domain.. . Hands-on experience with advanced predictive modeling and large-scale data processing.. . Knowledge of regulatory and compliance considerations in data-intensive industries.. . Company Location: United States.