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Full Time Data Scientist Forecasting Jobs (NOW HIRING)

Omada Health

Staff Forecasting Data Scientist

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 ...

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the ...

Apply Early

Lowe's

Data Scientist

Charlotte, NC · On-site

What You Will Do Develop and maintain forecasting and machine learning models to support demand ... Work with senior data scientists to apply advanced time series techniques such as ARIMA, Prophet ...

Syntelligent Analytic Solutions

$107K - $115K/hr

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Strong understanding of price elasticity, demand forecasting, and trade-offs between margin, volume ...

Penske

Data Scientist

Reading, PA

... office full-time. Major Responsibilities: Perform quantitative and qualitative analysis using ... Design, test, validate, and refine predictive, forecasting, optimization, and machine learning ...

Penske

Data Scientist

Reading, PA

... office full-time. Major Responsibilities: Perform quantitative and qualitative analysis using ... Design, test, validate, and refine predictive, forecasting, optimization, and machine learning ...

Credit Union of Texas

Data Scientist

Allen, TX

The Data Scientist collects and integrates operational and market data, identifies trends and ... Forecasting & Financial Analytics * Develop and maintain financial forecasts, dashboards, and ...

Penske

Data Scientist

Reading, PA · On-site

... forecasting, optimization, and process improvement analysis. This role requires strong business ... full-time. Major Responsibilities: • Perform quantitative and qualitative analysis using ...

Verse

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

For example, you might spend a cycle deploying electricity market price forecasting pipelines for ... Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ...

Verse

Data Scientist

San Francisco, CA

$146K - $172K/yr

For example, you might spend a cycle deploying electricity market price forecasting pipelines for ... Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ...

Credit Union of Texas

Data Scientist

Allen, TX

The Data Scientist collects and integrates operational and market data, identifies trends and ... Forecasting & Financial AnalyticsDevelop and maintain financial forecasts, dashboards, and reports ...

Credit Union Texas

Data Scientist

Allen, TX · On-site

The Data Scientist collects and integrates operational and market data, identifies trends and ... Forecasting & Financial Analytics * Develop and maintain financial forecasts, dashboards, and ...

neptune technologies

Data Scientist

Duluth, GA

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Analyze large-scale ...

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Full Time Data Scientist Forecasting information

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$37.5K

$122.7K

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How much do full time data scientist forecasting jobs pay per year?

As of Jul 4, 2026, the average yearly pay for full time 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 are some common challenges faced by data scientists specializing in forecasting, and how can they be addressed?

Data scientists in forecasting roles often encounter challenges such as managing data quality issues, handling seasonality or sudden shifts in data patterns, and aligning forecast outputs with business goals. To address these, it’s important to implement robust data cleaning processes, regularly update and validate models, and maintain close communication with business stakeholders to ensure forecasts are actionable. Collaborating with cross-functional teams, such as data engineers and domain experts, also helps in refining input data and interpreting results effectively.

What are the key skills and qualifications needed to thrive as a Full Time Data Scientist Forecasting, and why are they important?

To thrive as a Full Time Data Scientist Forecasting, you need strong skills in statistical analysis, time series modeling, and a solid foundation in mathematics, usually supported by a degree in statistics, mathematics, computer science, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning frameworks, and familiarity with data visualization and database management tools are essential. Excellent problem-solving abilities, communication skills, and business acumen help you translate complex data into actionable insights and collaborate with cross-functional teams. These skills are crucial for generating accurate forecasts that drive strategic business decisions and add measurable value to organizations.
What cities are hiring for Full Time Data Scientist Forecasting jobs? Cities with the most Full Time 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 Full Time Data Scientist Forecasting jobs? States with the most job openings for Full Time Data Scientist Forecasting jobs include:
Full Time Data Scientist Forecasting jobs near you
Staff Forecasting Data Scientist

Staff Forecasting Data Scientist

Omada Health

Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
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 models for our existing book of business, helping transform a historically manual, assumption-heavy process into a robust, production-oriented forecasting engine that improves forecast quality, consistency, and speed. Working closely with Commercial Operations, Finance, Data Engineering, and Applied Statistics, this person will design, deploy, and monitor forecasting solutions that support critical planning and decision-making across the business. The ideal candidate combines strong technical depth in time-series and predictive modeling with the ability to operate in ambiguous business contexts, translate commercial questions into scalable analytical solutions, and provide technical leadership in how forecasting is built at Omada.
Your Impact:
  • Design, build, and automate Omada's core enrollment forecasting engine for the existing book of business, significantly reducing manual effort and increasing forecast reliability and reproducibility.
  • Translate commercial planning questions into scalable forecasting solutions, partnering closely with Commercial Operations, Sales, Marketing, and Finance to ensure the models reflect real-world dynamics and are usable in day-to-day decision making.
  • Establish and own best practices for model development, backtesting, performance monitoring, and alerting for enrollment forecasts, helping Omada move from one-off analyses to a robust, production-grade forecasting capability.
  • Improve forecast accuracy and responsiveness over time by continuously experimenting with new data sources, features, and modeling techniques, and systematically incorporating learnings from forecast performance.
  • Act as the primary technical leader for forecasting within the Data organization, providing guidance on tooling, coding standards, and architecture, and mentoring other data scientists who contribute to forecasting projects.
  • Free Commercial Operations leadership to focus on product-line strategy and new go-to-market motions by taking ownership of the technical implementation of base forecasting, while collaborating closely on the assumption framework and narrative.

About you:
  • 8+ years of experience in data science or applied statistics roles, with at least 3 years focused on forecasting, time series modeling, or revenue/enrollment prediction in a SaaS, healthcare, or similar recurring-revenue business.
  • Deep hands-on proficiency in Python (e.g., pandas, numpy, scikit-learn, statsmodels, Prophet or similar libraries) and SQL, with a track record of taking models from discovery through deployment and ongoing monitoring.
  • Strong grounding in statistical and machine learning methods for forecasting (e.g. hierarchical or panel forecasting, gradient boosting, generalized linear models), and a practical sense for when simple models outperform complex ones.
  • Experience designing and maintaining production data science systems in partnership with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting.
  • Comfort working with messy, real-world commercial data (CRM, marketing, product/event, and financial data) and building robust pipelines and features that can support recurring forecast runs.
  • Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design.
  • Proven experience influencing cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance) using data-driven insights, including framing uncertainty, risk, and scenario ranges in an executive-friendly way.
  • High degree of ownership and bias toward action: willing to dive into data, prototypes, and code while also stepping back to design scalable systems and long-term improvements to forecasting capabilities.
  • Comfortable working in a fast-changing environment where GTM motions, products, and partner needs evolve quickly, and where you help drive clarity through structure, process, and analytics.

Bonus Points for:
  • Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high-growth, evolving, or public-company environment.
  • Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries with multi-stakeholder sales cycles.
  • Prior work supporting capacity planning or operational forecasting alongside care delivery, supply chain, or customer support teams.
  • Familiarity with Salesforce data models and RevOps processes (pipeline management, incentive compensation, territory / quota design).
  • Passion for leveraging data, analytics, and emerging technologies (e.g., advanced BI, AI-driven forecasting) to improve healthcare and outcomes for people living with chronic conditions.

Benefits:
  • Competitive salary with generous annual cash bonus
  • Equity grants
  • Remote first work from home culture
  • Flexible Time Off to help you rest, recharge, and connect with loved ones
  • Generous parental leave
  • Health, dental, and vision insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA)
  • Mental Health Support Solutions
  • ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
  • Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
  • Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
  • Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
  • Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
  • Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
  • Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits-where health is won or lost-at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.
Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges for this role in the following geographies:
California, New York State and Washington State Base Compensation Ranges: $202,400 - $253,000*, Colorado Base Compensation Ranges: $193,600 - $242,000*. Other states may vary.
This role is also eligible for participation in annual cash bonus and equity grants.
*The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.
Please click here for more information on our Candidate Privacy Notice.

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