Data Scientist (forecasting & optimization) Consultant

TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform

healthcare with our innovative technology. We believe in empowering our customers through

inventive solutions and a commitment to excellence. Our young, rapidly growing team is

looking for passionate professionals who thrive in a dynamic, innovative, and collaborative

environment.

• This role is FULLY REMOTE, though you MUST reside within the United States and be legally
  
  

authorized to work in the United States.

Key Values of all TeamBuilders

 Flexibility – Adapt how we work to meet team and customer needs.

 Accountability – We own commitments and results, and follow through as a team

 Clarity – Communicate expectations, priorities, and decisions clearly.

 Transparency – Share decisions, feedback, and context openly and honestly.

The Role

TeamBuilder builds software for ambulatory healthcare operations. The problem is simple:

turn messy healthcare data into actions.

This role sits between data, forecasting models, and optimization. You own forecasts end to

end and work directly with the optimization layer. Shape inputs, validate outputs, and turn

results into something operators can use.

What You’ll Do

 Forecasting model ownership

• Build and iterate production grade demand and volume forecasts
• Evaluate models with backtesting and real-world performance
• Maintain stability with retraining, drift monitoring, and failure handling
• Improve models based on operational outcomes
  
  

 Sit at intersection of data and optimization

• Define input data contracts for optimization models including capacity,
  
  

constraints, and demand

• Transform raw data into model-ready features and constraints
• Validate solver outputs and identify infeasibility, constraint conflicts, and scaling
  
  

issues

• Trace issues back to data assumptions and constraint design
• Convert outputs into usable schedules and recommendations
  
  

 Model system validation

• Compare model output to operational reality and explain gaps
• Run scenario analyses under different constraints
• Improve pipelines that support forecasting and optimization quality
• Test assumptions against real-world variation
  
  

 Communication / translation

• Explain models and outputs to non-technical users including operators and
  
  

clients

• Translate tradeoffs between accuracy, feasibility, and constraints
• Deliver clear recommendations tied to business outcomes
• Participate in client conversations and defend model behavior
  
  

Qualifications

What We’re Looking For

 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

Preferred Skills

 Experience in healthcare or complex operational environments such as staffing or

capacity planning

 Experience with capacity-constrained systems

 Familiarity with solvers such as Gurobi

Why You’ll Love Working Here

 Mission-driven team tackling real healthcare challenges.

 Freedom to experiment and innovate without layers of bureaucracy.

 Opportunity to shape the company’s data science culture and R&D direction.

 Flexible work environment and supportive, intellectually curious teammates.

Additional Information

 Job Type: Contracted, PT/FT, Remote

 Compensation: Hourly, potential to go Full-Time, Perm.potential for an annual performance bonus, and/or equity.

 Culture: We foster a collaborative, engaging, mission-driven culture that values

innovation and prioritizes customer success.

Powered by JazzHR

chTk5y37au