Top Senior Level Data Science Jobs

Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders

The Senior Speech Scientist will design and deliver customer experience solutions by developing grammar for speech-enabled IVR applications, acting as a subject matter expert in speech recognition, and supporting sales with relevant proposals.

The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.

As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.

Senior Data Scientist role at Pilot Company, responsible for solving complex business problems through data analysis, modeling, and experimental design. Collaborate with stakeholders to identify opportunities for data science solutions that drive commercial value. Master's degree in statistics, econometrics, or data science required, along with 5-7 years of industry experience. Proficiency in Python, R, SQL, and machine learning is essential.

The Senior Credit Analyst will develop pricing models for sustainable growth, create customer risk profiles, perform credit risk analysis, and collaborate with cross-functional teams to guide lending strategies and insights. They will also track key performance indicators and support model development with the Data Science team.

As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.