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Data Scientist Forecasting Jobs in Texas (NOW HIRING)

Cognizant

Data Scientist - Demand Forecasting

Plano, TX · On-site

$115 - $130/hr

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 ...

Techvilla Solutions

Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

New

Techvilla Solutions

Data Scientist

Highland Park, TX · On-site

Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

New

Techvilla Solutions

Data Scientist

Dallas, TX · On-site

Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

New

Techvilla Solutions

TX · On-site

Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

New

Techvilla Solutions

Data Scientist

Cockrell Hill, TX

Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

New

HEB

Data Scientist - Demand Forecasting

San Antonio, TX · On-site

$158K/yr

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have ... Shipping cost forecasting * Gas network disruption analysis * Create data visualizations for both ...

Socket.dev

Data Scientist

Dallas, TX · On-site

$112.50 - $137.50/hr

Apply knowledge of enterprise profitability and business planning and forecasting. Minimum Requirements: Requires a Master degree, or foreign equivalent degree, in Mathematics, Data Science, Computer ...

QTech US Inc

Data Scientist

Grand Prairie, TX · On-site

Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. Preferred skills: 2-4 years working in ...

Central Health

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Design, develop, and maintain predictive models and forecasting solutions that directly support ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

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All JobsData Scientist Forecasting JobsData Scientist Forecasting Jobs in Texas

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 Aug 10, 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 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 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 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:
What job categories do people searching Data Scientist Forecasting jobs in Texas look for? The top searched job categories for Data Scientist Forecasting jobs in Texas are:
Data Scientist Forecasting jobs near you
Infographic showing various Data Scientist Forecasting job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Senior Data Scientist, Forecasting and Analytics

McAfee

Frisco, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Role Summary
We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.
Position Details
About the role:
Forecasting & Planning
  • Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.
  • Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.
  • Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.
  • Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.

Advanced Analytics & Machine Learning
  • Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
  • Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.

Marketing Insights & Stakeholder Storytelling
  • Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.
  • Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.
  • Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.
  • Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.

About you:
  • 7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.
  • Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.
  • Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
  • Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
  • Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.
  • Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.

Preferred Qualifications
  • Master's degree or PhD in a quantitative discipline.
  • Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.
  • Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.
  • Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.
  • Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.
  • Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.

#LI-Hybrid
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:
  • Bonus Program
  • 401k Retirement
  • Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
  • Paid Parental Leave
  • Support and Community Involvement
  • 14 Paid Company Holidays
  • Unlimited Paid Time Off for Exempt Employees
  • 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Pay Range
The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.
Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

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