Remote Data Scientist — Forecasting & Optimization

Ellenco Estágios e Treinamentos; New York (NY); On-site; USD 55,000 - 124,000; Part time

Benefits offered by this job

Remote work

Job summary

TeamBuilder is seeking a data science professional to own forecasting models end-to-end in a healthcare SaaS context. You will shape inputs, validate outputs, and translate results into actionable schedules and recommendations for operators and clients.

The role sits at the intersection of data, forecasting models, and optimization, requiring strong Python and SQL skills, experience with production models, and the ability to explain complex concepts to non-technical users.

Qualifications

• 5+ years in data science or applied analytics.
• Experience owning forecasting models in production.
• Strong Python and SQL, comfortable with large datasets.
• Experience working with messy data.
• Ability to explain technical work clearly to non-technical users.

Responsibilities

• Own forecasting model development and production deployment.
• Define input data contracts for optimization models and transform data into model-ready features.
• Validate solver outputs and identify infeasibility or scaling issues.
• Translate model outputs into actionable schedules and recommendations for operators and clients.
• Explain models and tradeoffs to non-technical stakeholders and clients.
• Collaborate with cross-functional teams to improve forecasting and optimization quality.

Skills

Forecasting

Python

SQL

Data analytics

Communication

Tools

Gurobi

Job description

TeamBuilder is seeking a data science professional to own forecasting models end-to-end in a healthcare SaaS context. You will shape inputs, validate outputs, and translate results into actionable schedules and recommendations for operators and clients.

The role sits at the intersection of data, forecasting models, and optimization, requiring strong Python and SQL skills, experience with production models, and the ability to explain complex concepts to non-technical users.