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Data Scientist Forecasting Afternoon Jobs (NOW HIRING)

Data Scientist

Bethesda, MD · On-site

$120 - $180/hr

Mentor junior analysts and data scientists in best practices for data science, forecasting, and ... statistical modeling. Requirements * Bachelor's degree in Data Science, Statistics, Applied ...

About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...

$120 - $180/hr

This Position is Contingent on Contract Award Description Columbia Technology Partners is seeking Data Scientists to develop advanced analytics, machine learning models, and data‑driven solutions ...

Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

Key Responsibilities Model Development & Forecasting * Build, train, and deploy time‑series ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability. This role will build and scale forecasting ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Showing results 21-40

Data Scientist Forecasting Afternoon information

See salary details

$46K

$165K

$243.5K

How much do data scientist forecasting afternoon jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist forecasting afternoon in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is it possible to work part-time as a data scientist forecasting afternoon?

Data scientist forecasting roles can sometimes be available part-time, especially in consulting or freelance settings, but most full-time positions require standard working hours. Part-time opportunities may require strong skills in data analysis, programming, and tools like Python or R, and depend on employer needs and project scope.

Is data scientist still a good career in 2026?

Data scientist roles remain in high demand in 2026 due to the ongoing growth of data-driven decision making across industries. Skills in machine learning, statistical analysis, and programming languages like Python or R continue to be valuable, and the profession offers strong job prospects and competitive salaries.

What is the difference between Data Scientist Forecasting Afternoon vs Data Analyst Forecasting Afternoon?

AspectData Scientist Forecasting AfternoonData Analyst Forecasting Afternoon
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some experience in machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentAdvanced analytics teams, often in tech or finance industries, focusing on predictive modelingBusiness units, focusing on reporting, data visualization, and descriptive analysis
Employer & Industry UsageTech companies, finance, e-commerce, and consulting firmsRetail, healthcare, finance, and marketing sectors

While both roles involve forecasting, Data Scientist Forecasting Afternoon typically requires advanced statistical and machine learning skills to develop predictive models, whereas Data Analyst Forecasting Afternoon focuses on analyzing historical data and creating reports. The Data Scientist role is more technical and model-driven, while the Data Analyst role emphasizes data interpretation and visualization.

More about Data Scientist Forecasting Afternoon jobs
What cities are hiring for Data Scientist Forecasting Afternoon jobs? Cities with the most Data Scientist Forecasting Afternoon job openings:
What are the most commonly searched types of Data Scientist Forecasting jobs? The most popular types of Data Scientist Forecasting jobs are:
What states have the most Data Scientist Forecasting Afternoon jobs? States with the most job openings for Data Scientist Forecasting Afternoon jobs include:
Infographic showing various Data Scientist Forecasting Afternoon job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist (forecasting & optimization) Consultant

Teambuilder

Manhattan, NY • Remote

Other

Re-posted 9 days ago


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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