A leading organization in the financial services industry is seeking a Senior Data Scientist to join their growing analytics team. This role will lead end-to-end model development, mentor junior talent, and help mature the data science lifecycle to deliver measurable business impact.

Direct Hire | $130-150k | Hybrid in Sacramento, CA

Key Duties:

• Lead development and calibration of predictive and segmentation models
• Partner with cross-functional teams to deliver actionable insights
• Guide junior analysts in technical skill-building and best practices
• Build scalable solutions using Python, SQL, Databricks, and Azure Fabric
• Translate complex data into executive-level visualizations using Power BI

Requirements:

• 10+ years in data analytics, with 5+ years in data science and engineering
• Advanced skills in Python, SQL, Power BI, and machine learning frameworks
• Experience mentoring team members and implementing production ML workflows
• Strong grasp of data warehousing, dimensional modeling, and SLDC principles
• Bachelor's in a quantitative field required; Master's preferred

Desired Skills and Experience

The Sr. Data Scientist will lead end-to-end model development, mentor junior talent, and help mature the data science lifecycle to deliver measurable business impact.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.