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Data Scientist Forecasting Remote Jobs in Texas (NOW HIRING)

Kemper

Data Scientist

Dallas, TX · On-site +1

Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Dlapiper

Data Scientist

Austin, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

2U

Data Scientist II

Crystal City, TX · On-site +1

The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

CSAA

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

Thatch

Data Scientist, Analytics

Austin, TX · On-site +1

$160K - $200K/yr

We're looking for a Data Scientist to help Thatch make better product, commercial, financial, and ... Building or applying statistical models such as lead scoring, forecasting, or segmentation.

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Data Scientist Forecasting Remote information

What does a data scientist specializing in forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.

How does a remote data scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting in a remote role?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

What is the difference between Data Scientist Forecasting Remote vs Data Analyst Forecasting Remote?

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

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 Remote jobs in Texas?

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

What job categories do people searching Data Scientist Forecasting Remote jobs in Texas look for?

The top searched job categories for Data Scientist Forecasting Remote jobs in Texas are:

What cities in Texas are hiring for Data Scientist Forecasting Remote jobs?

Cities in Texas with the most Data Scientist Forecasting Remote job openings:

Data Scientist Forecasting Remote jobs near you
Infographic showing various Data Scientist Forecasting Remote job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Scientist, Forecasting and Analytics

McAfee

Frisco, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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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