Top Data Science Jobs

ChromaDex Corp. is seeking an Analyst I in the R&D group to provide analytical support for product success and contribute to scientific development. Responsibilities include performing analytical characterization, documentation, equipment maintenance, authoring technical documents, troubleshooting, and ensuring quality control.

The Quantitative Analytics Senior will develop and enhance mortgage prepayment, default, and severity models. Responsibilities include conducting quantitative analysis for portfolio management, performing sensitivity analyses, preparing model documentation, and providing analytical support for trading and hedging activities.

The Principal Scientist is a technical expert who resolves complex technical issues in the Global Supply Chain, leads research platforms, develops breakthrough cost savings initiatives, and anticipates business challenges. They foster an inclusive environment, conduct complex research, build institutional knowledge, and utilize data-driven approaches. This role requires a PhD and a minimum of 10 years of experience in the beverage alcohol manufacturing industry.

Research Associate at Capvision responsible for expert selection, industry research, client communication, and delivering qualified experts to influence client research. Direct interaction with high-stakes clients, autonomy in negotiation, and project management. Key role in end-to-end management of international projects with industry leaders and executives.

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.

As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.

Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.