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Remote Machine Learning Quant Jobs in Fort Worth, TX

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

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Remote Machine Learning Quant information

See Fort Worth, TX salary details

$10.5K

$124.3K

$189.8K

How much do remote machine learning quant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote machine learning quant in Fort Worth, TX is $124,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $132,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Fort Worth, TX?

For Remote Machine Learning Quant jobs in Fort Worth, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Fort Worth, TX look for?

The top searched job categories for Remote Machine Learning Quant jobs in Fort Worth, TX are:

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Cities near Fort Worth, TX with the most Remote Machine Learning Quant job openings:

Remote Machine Learning Quant jobs near you

Senior Data Scientist, Forecasting and Analytics

McAfee

Frisco, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 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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