Data Scientist - Model Strategy Management

Senior Data Scientist - Model Strategy Management

We are seeking a Senior Data Scientist to support our ML Business Modeling team within the Advanced Insights & Modeling group. This role requires a strong sense of business strategy, economic insight, data science expertise, and machine learning modeling experience. A successful candidate will lead the development of business models, manage project timelines, and execute post-development model performance testing framework. As a Data Scientist, you will be the liaison between Engineers and Business teams, translating business requirements into modelable exercises.

You Will

Participate in the development and implementation of advanced predictive models to support strategic business decisions.

Manage project timelines and deliverables, ensuring the timely completion of data science initiatives.

Prioritize model development efforts based on business impact and strategic objectives.

Collaborate with machine learning engineering teams to build and maintain robust end-to-end data pipelines.

Conduct early-stage analysis to inform model development, leveraging business intuition to suggest key drivers and features.

Own parallel modeling to ensure alignment with business expectations and reporting.

Interface with business stakeholders to gather requirements and ensure models meet business needs.

Explore improvements to business analytics using LLMs and other productivity tools.

You Have

Bachelor’s with 5+ years or Master’s with 3+ years of experience in finance, economic analysis, data science, or a related field, with a focus on applying analytic tools to business problems.

Expertise in forecasting, predictive modeling, and value estimation, including statistical and ML-based methods.

Advanced proficiency in Python, and experience with libraries such as scikit-learn, XGBoost, LightGBM, and pandas / numpy.

Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Demonstrated ability to work collaboratively across teams and functions.

Technologies We Use and Teach

SQL

Python (Streamlit, Sklearn, Prefect)

GitHub

Databricks

We’re an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair and provide an inclusive interview experience, including reasonable accommodations to disabled applicants throughout the recruitment process.

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