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Data Scientist Forecasting Jobs in Texas (NOW HIRING)

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ... Lead a small team of data scientists, providing technical direction and coaching. Compensation and ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Design and implement algorithms and predictive models using machine learning techniques to forecast ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Design and implement algorithms and predictive models using machine learning techniques to forecast ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Design and implement machine learning and AI solutions, including predictive models, forecasting ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Design and implement machine learning and AI solutions, including predictive models, forecasting ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Design and implement machine learning and AI solutions, including predictive models, forecasting ...

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning ...

Data Scientist

Dallas, TX · On-site

$20 - $28/hr

Position Overview We are looking for a high-impact Data Scientist who can turn messy, real-world ... Familiarity with forecasting, pricing models, or optimization problems * Experience with cloud ...

Data Scientist

Dallas, TX · On-site

$81K/yr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The ... forecasting, allocation, replenishment, and product flow across the enterprise. This role is ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis

... forecasting and inventory optimization • Experience with logistics and transportation ... for a data scientist, optimization engineer, or operations research professional who enjoys ...

The Data Scientist II is expected to independently lead analyses and model development projects ... forecasting, segmentation, classification, and anomaly detection. * Contribute to the development ...

The Data Scientist II is expected to independently lead analyses and model development projects ... forecasting, segmentation, classification, and anomaly detection. * Contribute to the development ...

The Data Scientist II is expected to independently lead analyses and model development projects ... forecasting, segmentation, classification, and anomaly detection. * Contribute to the development ...

Overview Data Scientist (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to ... Prioritize and deliver critical ad hoc analysis supporting the SALLY plan and forecast, balancing ...

Showing results 21-40

Data Scientist Forecasting information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data scientist forecasting jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist forecasting in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a data scientist forecasting?

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 typical daily tasks for a data scientist 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 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 the most commonly searched types of Data Scientist Forecasting jobs in Texas?

The most popular types of Data Scientist Forecasting jobs in Texas are:

What are popular job titles related to Data Scientist Forecasting jobs in Texas?

For Data Scientist Forecasting jobs in Texas, the most frequently searched job titles are:

Infographic showing various Data Scientist Forecasting job openings in Texas as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

Senior Data Scientist

PepsiCo

Plano, TX • On-site

$93K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 903 frontline employees who took The Breakroom Quiz

153rd of 443 rated food and drinks producers


Job description

Overview

Hybrid position in either Plano TX or Purchase NY

The purpose of hiring this role is to establish dedicated ownership for the GTM project, which is critical to delivering unified, scalable, and accurate forecasts across North America retailers. 


Responsibilities

The Senior Data Scientist will:

  • Serve as a core owner of the GTM forecasting engine, ensuring the onboarded markets evolve into a scalable, standardized, and wellgoverned product. 
  • Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance, and deploy DS modules to support categorylevel demand forecast accuracy, consistency, and governance.
  • Partner with demand planners and forecast analysts across business units to validate and refine outputs.
  • Lead prioritization and delivery of product enhancements aligned with the oneNA roadmap.
  • Lead a small team of data scientists, providing technical direction and coaching.

Compensation and Benefits:

  • The expected compensation range for this position is between $93,500 - $156,450.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications
  • Education: Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required.
  • Master’s is preferred.
  • Experience: 7+ years of experience in applied data science, advanced analytics, or forecasting, including ownership of endtoend analytical solutions in production environments.
  • Demonstrated experience developing, deploying, and maintaining forecasting or predictive modeling solutions at scale.
  • Technical Skills: Strong expertise in statistical modeling, timeseries forecasting, and machine learning, including model validation, accuracy/bias assessment, and performance diagnostics.
  • Proficient in Python with a track record of writing productionquality, welldocumented, and reusable code.
  • Experience working with cloudbased analytics platforms (e.g., Azure), including automated pipelines, model deployment, and runtime or cost optimization.
  • Product Ownership: Proven ability to independently own complex analytical products, including lifecycle management, roadmap definition, and continuous improvement.
  • Experience modernizing existing or fragmented methodologies and driving standardization, scalability, and governance.
  • Business Partnership: Strong experience partnering with business stakeholders to validate analytical outputs and translate insights into decisions.
  • Ability to clearly communicate complex analytical concepts to both technical and nontechnical audiences.
  • Leadership: Experience providing technical leadership and mentorship to data scientists, including guidance on modeling approaches, code quality, and prioritization.
  • Demonstrated ability to lead work across multiple stakeholders and initiatives concurrently.

Preferred Qualifications

  • Experience with categorylevel, hierarchical, or longterm demand forecasting.
  • Familiarity with scenario simulation and advanced forecast enhancement techniques.
  • Experience supporting multimarket or multiregion analytical solutions in an enterprise setting.
  • Prior experience working in globally distributed teams.

EEO Statement

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement

Qualifications:
  • Education: Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required.
  • Master’s is preferred.
  • Experience: 7+ years of experience in applied data science, advanced analytics, or forecasting, including ownership of endtoend analytical solutions in production environments.
  • Demonstrated experience developing, deploying, and maintaining forecasting or predictive modeling solutions at scale.
  • Technical Skills: Strong expertise in statistical modeling, timeseries forecasting, and machine learning, including model validation, accuracy/bias assessment, and performance diagnostics.
  • Proficient in Python with a track record of writing productionquality, welldocumented, and reusable code.
  • Experience working with cloudbased analytics platforms (e.g., Azure), including automated pipelines, model deployment, and runtime or cost optimization.
  • Product Ownership: Proven ability to independently own complex analytical products, including lifecycle management, roadmap definition, and continuous improvement.
  • Experience modernizing existing or fragmented methodologies and driving standardization, scalability, and governance.
  • Business Partnership: Strong experience partnering with business stakeholders to validate analytical outputs and translate insights into decisions.
  • Ability to clearly communicate complex analytical concepts to both technical and nontechnical audiences.
  • Leadership: Experience providing technical leadership and mentorship to data scientists, including guidance on modeling approaches, code quality, and prioritization.
  • Demonstrated ability to lead work across multiple stakeholders and initiatives concurrently.

Preferred Qualifications

  • Experience with categorylevel, hierarchical, or longterm demand forecasting.
  • Familiarity with scenario simulation and advanced forecast enhancement techniques.
  • Experience supporting multimarket or multiregion analytical solutions in an enterprise setting.
  • Prior experience working in globally distributed teams.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965