Data Scientist, Forecasting & Analytics

Recentive Analytics Inc.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Collaborative Culture

Growth & Ownership

Job summary

Recentive Analytics Inc. is seeking a Data Scientist in San Francisco to design and deploy analytical solutions for top names in sports and entertainment. The role involves developing models, collaborating across teams, and building data pipelines using Python and SQL. Ideal candidates have 5+ years of experience in analytics engineering and strong problem-solving skills, along with effective communication abilities. Join a growing team focused on innovative, impactful work that shapes strategies in the live events ecosystem.

Qualifications

• 5+ years developing and deploying production-ready Python-based analytics solutions.
• 5+ years writing and optimizing SQL queries for analytical platforms like Snowflake.
• Experience designing forecast and demand models with diverse historical data conditions.

Responsibilities

• Develop and deploy analytical models that power decision-making.
• Collaborate with internal teams to frame complex business problems.
• Build robust data workflows and modeling pipelines.

Skills

Python Expertise

SQL Expertise

Forecasting & Demand Modeling Experience

Analytical & Problem-Solving Skills

Analytics Engineering Experience

Client Empathy

Tools

DBT

Snowflake

SQL

Job description

Recentive Analytics Inc. is seeking a Data Scientist in San Francisco to design and deploy analytical solutions for top names in sports and entertainment. The role involves developing models, collaborating across teams, and building data pipelines using Python and SQL. Ideal candidates have 5+ years of experience in analytics engineering and strong problem-solving skills, along with effective communication abilities. Join a growing team focused on innovative, impactful work that shapes strategies in the live events ecosystem.