Data Scientist - Model Strategy Management

Block; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm in San Francisco is looking for a Senior Data Scientist to join their ML Business Modeling team. The ideal candidate will have a Bachelor's degree with 5+ years or a Master's with 3+ years of relevant experience and expertise in predictive modeling and data science. Responsibilities include developing predictive models, managing timelines, and collaborating with various stakeholders to meet business needs. This position offers a chance to influence strategic business decisions with advanced analytical techniques.

Qualifications

• 5+ years of experience in data science or related field, or 3+ years with a Master's.
• Expertise in statistical and machine learning methods.
• Advanced proficiency in Python and related libraries.

Responsibilities

• Develop and implement advanced predictive models for strategic decisions.
• Manage project timelines and ensure timely completion.
• Collaborate with engineering teams on data pipelines.

Skills

Forecasting

Predictive modeling

Value estimation

Communication skills

Collaboration

Education

Bachelor’s degree

Master’s degree

Tools

Python

SQL

GitHub

Databricks

Job description

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.