Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers.
Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems.
Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, Azure, SnowFlake, SalesForce, internal systems, and flat files.
Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources.
Build rich, interactive dashboards and visualizations from the ground up using PowerBI.
Compile and present key findings and reports to all levels of the organization, including senior leadership.
Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance.
Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices.
Problem-solve, generate new ideas, and provide creative solutions.
Mentor, model, act as a resource, and provide guidance for more junior analysts and team members.
Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.

PHD degree required in a Quantitative (heavy in mathematics, statistics or analysis, such as Applied Mathematics, Optimization, Psychology, or Economics) or Programming discipline.
2+ years of experience in data analysis.
1+ years of programming experience.
Significant experience working with large, complex data sets and common data science tools.
Experience working with database Python.
Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework.
Experience training multi model design to structure and train for unstructured data matching.
Experience training LLM models for specialized use cases.

Senior Data Scientist

Key skills