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Data Scientist Forecasting Jobs (NOW HIRING)

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

Data Scientist Data Scientist - Forecasting & Analytics Location: Hybrid | Southeast-Based Organization Compensation: Competitive + Strong Benefits We're partnering with a rapidly growing, multi ...

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

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Data Scientist Forecasting information

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$37.5K

$122.7K

$196.5K

How much do data scientist forecasting jobs pay per year?

As of May 31, 2026, the average yearly pay for data scientist forecasting in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Scientist Forecasting job?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Scientist Forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What are typical daily tasks for a Data Scientist focused on forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.
What cities are hiring for Data Scientist Forecasting jobs? Cities with the most Data Scientist Forecasting 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 jobs? States with the most job openings for Data Scientist Forecasting jobs include:
Infographic showing various Data Scientist Forecasting job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 60% Physical, 30% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (forecasting & optimization) Consultant

TeamBuilder

Remote

Full-time

Posted 4 days ago


Job description

Job Summary:
TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with innovative technology. They are seeking a Data Scientist (forecasting & optimization) Consultant to own forecasting models, work with optimization layers, and translate technical outputs for non-technical users. The role involves building production-grade forecasts, validating models, and improving data pipelines in a dynamic environment.
Responsibilities:
• 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:
Required:
• 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:
• Experience in healthcare or complex operational environments such as staffing or capacity planning
• Experience with capacity-constrained systems
• Familiarity with solvers such as Gurobi
Company:
Empowering healthcare to build the right team for tomorrow, today. Founded in 2021, the company is headquartered in Newtown, USA, with a team of 11-50 employees. The company is currently Early Stage.