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Senior Data Scientist Forecasting Jobs (NOW HIRING)

NC · On-site

The Senior Data Scientist expands Peter Millar's data science capacity beyond customer analytics, owning forecasting, merchandising, and operations modeling. Operating at the intersection of applied ...

As a Staff Data Scientist for Forecasting, you will be the technical leader responsible for building and owning the sophisticated models that power Veho's Sales and Operations Planning (S&OP) process.

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and ...

Responsibilities The Senior Data Scientist will: * Serve as a core owner of the GTM forecasting ... Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ...

Senior Data Scientist

Triangle, VA · On-site

$140 - $190/hr

The Senior Data Scientist expands Peter Millar's data science capacity beyond customer analytics, owning forecasting, merchandising, and operations modeling. Operating at the intersection of applied ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Senior Data Scientist will: * Serve as a core owner of the GTM forecasting ... Modernize inherited forecasting methodologies and drive best-in-class model design. Develop ...

Responsibilities The Senior Data Scientist will: * Serve as a core owner of the GTM forecasting ... Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Senior Data Scientist will: * Serve as a core owner of the GTM forecasting ... Modernize inherited forecasting methodologies and drive best-in-class model design. Develop ...

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to ... Responsibilities : • Develop/enhance forecasting models for site randomization and enrollment ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Senior Data Scientist will: * Serve as a core owner of the GTM forecasting ... Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ...

Senior Data Scientist

Washington, DC · On-site

$130 - $150/hr

We are seeking a Senior Data Scientist to join our team in Washington, DC, in support of the ... SOA utilizes predictive analytics, simulation, and optimization modeling to forecast resource needs ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Senior Data Scientist will: * Serve as a core owner of the GTM forecasting ... Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ...

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... forecasting, and marketing attribution. * Perform statistical analysis, hypothesis testing, causal ...

New

We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and ... Experience with machine learning, probabilistic forecasting, optimization and causal modeling ...

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry:Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex ...

Showing results 41-60

Senior Data Scientist Forecasting information

See salary details

$41.5K

$142.5K

$201K

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

As of Aug 16, 2026, the average yearly pay for senior data scientist forecasting in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior data scientist forecasting do?

A Senior Data Scientist specializing in Forecasting is responsible for developing advanced models to predict future trends, demands, or behaviors based on historical data. They use statistical, machine learning, and time series methods to generate accurate forecasts that help organizations make data-driven decisions. In addition to building models, they also interpret results, communicate findings to stakeholders, and mentor junior team members. Their work is crucial for industries like retail, finance, and supply chain where anticipating future outcomes impacts strategic planning.

What are the key skills and qualifications needed to thrive as a senior data scientist forecasting?

To thrive as a Senior Data Scientist Forecasting, you need advanced statistical modeling expertise, strong programming skills in languages such as Python or R, and a degree in a quantitative field. Experience with machine learning frameworks, time series forecasting tools (like Prophet, ARIMA, or TensorFlow), and data visualization platforms is typically required. Exceptional problem-solving ability, business acumen, and clear communication help translate complex analyses into actionable insights for stakeholders. These skills are crucial for generating accurate forecasts that drive strategic decisions and add measurable value to the organization.

How does a senior data scientist forecasting typically collaborate with cross-functional teams to improve predictive models?

As a Senior Data Scientist in forecasting, you'll regularly engage with cross-functional teams such as product management, engineering, and business stakeholders to understand forecasting needs and key metrics. You'll translate business objectives into technical requirements, share insights from model outputs, and work closely with data engineers to ensure data quality and pipeline efficiency. This collaboration helps refine predictive models, address real-world constraints, and ensure the forecasting solutions are actionable and aligned with business goals. Open communication and iterative feedback are crucial for driving impactful results and continuous model improvement.

What is the difference between Senior Data Scientist Forecasting vs Data Scientist?

AspectSenior Data Scientist ForecastingData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; experience in forecasting modelsBachelor's or Master's in relevant field; foundational data analysis skills
Work EnvironmentFocus on time series, predictive modeling, and forecasting projects within finance, retail, or supply chainBroader data analysis tasks across various domains, including descriptive analytics and data visualization
Employer & Industry UsageCommon in finance, retail, and logistics companies emphasizing demand and sales forecastingUsed across industries for general data analysis, reporting, and insights generation

The main difference between a Senior Data Scientist Forecasting and a Data Scientist lies in specialization and experience. The forecasting role requires expertise in predictive time series models and industry-specific forecasting applications, often at a senior level. In contrast, a Data Scientist typically handles a wider range of data analysis tasks with less focus on forecasting, making the senior forecasting role more specialized and advanced.

More about Senior Data Scientist Forecasting jobs

What cities are hiring for Senior Data Scientist Forecasting jobs?

Cities with the most Senior 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 Senior Data Scientist Forecasting jobs?

States with the most job openings for Senior Data Scientist Forecasting jobs include:

Infographic showing various Senior Data Scientist Forecasting job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Sr. Data Scientist Enterprise Data Intelligence

Houston Independent School District

Houston, TX • On-site

Full-time

Re-posted 27 days ago


Houston Independent School District rating

5.4

Company rating: 5.4 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

527th of 631 rated elementary and secondary schools


Job description


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Job Description
Responsibilities
Sr. Data Scientist Enterprise Data Intelligence POSITION TITLE: Sr. Data Scientist Enterprise Data Intelligence CONTRACT LENGTH: 12M - Responsibilities body { font-family: Arial, sans-serif; font-size: 14px; color: #333; margin: 16px; } .section-label { font-weight: bold; font-size: 14px; margin-bottom: 16px; } ol { margin-top: 0; padding-left: 24px; } li { margin-bottom: 4px; line-height: 1.5; }
Responsibilities
  1. 1.
  2. Design and implement predictive models and machine learning algorithms for student outcomes, budgeting, staffing, and resource planning.
  3. 2.
  4. Analyze districtwide data to support equity tracking, chronic absenteeism, enrollment forecasting, and SPED identification trends.
  5. 3.
  6. Integrate data from Microsoft Fabric, SIS, ERP, and external datasets to answer complex research questions.
  7. 4.
  8. Develop simulations and decision support tools to guide executive and board-level planning.
  9. 5
  10. Present findings using compelling visuals and narratives tailored to non-technical audiences.
  11. 6.
  12. Partner with academics, operations, and finance to align data insights with real-world decisions.
  13. 7.
  14. Maintain reproducible research workflows and ensure compliance with data governance policies.
  15. 8.
  16. Collaborate with data architects and engineers to ensure model-ready datasets are accurate and current.
  17. 9.
  18. Mentor analysts and support the expansion of data fluency across departments.
  19. 10.
  20. Perform other job-related duties as assigned.

Qualifications
Sr. Data Scientist Enterprise Data Intelligence POSITION TITLE: Sr. Data Scientist Enterprise Data Intelligence CONTRACT LENGTH: 12M - Skills body { font-family: Arial, sans-serif; font-size: 14px; color: #333; margin: 16px; } .section-label { font-weight: bold; font-size: 14px; margin-bottom: 16px; } p { margin: 4px 0 10px 0; }
Job Qualifications
EDUCATION
A Master's degree in data science, statistics, applied mathematics, economics, or a related field is preferred. Alternatively, a Bachelor's degree plus relevant work experience is acceptable. Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role.
WORK EXPERIENCE
Minimum of 6 years in data science, research, or applied analytics roles. Experience in public education, government, or nonprofit analytics preferred.
TYPE OF SKILL AND/OR REQUIRED LICENSING/CERTIFICATION
Expert proficiency in Python, R, SQL, and Power BI Strong statistical and machine learning skills (e.g., regression, classification, time series, clustering) Familiarity with education data structures and public sector decision-making Data storytelling and visualization expertise
LEADERSHIP RESPONSIBILITIES
Serves as senior technical leader within the Data Intelligence Office. May lead projects and mentor junior analysts.
WORK COMPLEXITY/INDEPENDENT JUDGMENT
Manages high-impact modeling projects with districtwide consequences. Applies independent professional judgment to determine methods and interpret results. BUDGET AUTHORITY None. May advise on data tools, modeling platforms, and external datasets.
PROBLEM SOLVING
Translates strategic questions into analytical models. Identifies data issues and proposes data-informed solutions. IMPACT OF DECISIONS Models influence district investment decisions, student support strategies, and strategic planning efforts.
COMMUNICATION/INTERACTIONS
Collaborates with department leads, executive staff, and board advisors. Presents findings to senior leadership and external partners.
CUSTOMER RELATIONSHIPS
Provides critical insight and foresight to HISD leadership teams. Builds stakeholder trust through actionable, validated analytics.
WORKING/ENVIRONMENTAL CONDITIONS
Office environment. May work extended hours during major board cycles or forecasting updates.

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