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Data Scientist (forecasting & optimization) Consultant

Role overview

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

Responsibilities

  • Build and iterate production grade demand and volume forecasts
  • Define input data contracts for optimization models including capacity, constraints, and demand
  • Explain models and outputs to non-technical users including operators and clients
  • Convert outputs into usable schedules and recommendations

Key facts

Other skills

  • Forecasting
  • Communication
  • Collaboration
  • Problem Solving
  • Adaptability

About the company

TeamBuilder logo

TeamBuilder

Digital Health & Health Tech

Designed specifically for ambulatory healthcare, TeamBuilder uses leading data science to empower leaders to predict and balance workloads by recommending optimal staff schedules. TeamBuilder unlocks workforce productivity, improves the user experience, and delivers actionable insights uncovering significant opportunities for efficiency. Visit our Careers Page for open opportunities! https://teambuilder.applytojob.com/apply

Company details

IndustryDigital Health & Health Tech
Company size11 - 50

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Job description


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
o Build and iterate production grade demand and volume forecasts
o Evaluate models with backtesting and real-world performance
o Maintain stability with retraining, drift monitoring, and failure handling
o Improve models based on operational outcomes
 Sit at intersection of data and optimization
o Define input data contracts for optimization models including capacity,
constraints, and demand
o Transform raw data into model-ready features and constraints
o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling
issues
o Trace issues back to data assumptions and constraint design
o Convert outputs into usable schedules and recommendations
 Model + system validation
o Compare model output to operational reality and explain gaps
o Run scenario analyses under different constraints
o Improve pipelines that support forecasting and optimization quality
o Test assumptions against real-world variation
 Communication / translation
o Explain models and outputs to non-technical users including operators and
clients
o Translate tradeoffs between accuracy, feasibility, and constraints
o Deliver clear recommendations tied to business outcomes
o Participate in client conversations and defend model behavior

What We’re Looking For
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
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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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