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Data Science Manager Remote Jobs in Frisco, TX (NOW HIRING)

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Gartner

Associate Data Scientist

Irving, TX · On-site +1

$56K - $57K/yr

Partner with Product Managers, business stakeholders, and engineers to translate business needs ... What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics ...

New

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable ... Collaborate with cross functional teams including data architects, analysts, scientists, and ...

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Data Collection and Management: * Gather and organize large sets of structured and unstructured ...

SmartIPlace

Data Engineer (Manager Level)

Dallas, TX · Remote

$65 - $70/hr

... data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance · Integrates data from different sources ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · Remote

Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management ... REMOTE Physical Demands and Working Conditions While performing the duties of this job, the ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management ... REMOTE Physical Demands and Working Conditions While performing the duties of this job, the ...

CVS Health

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

PeopleVisor

Data Scientist

Irving, TX · Remote

Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is ... You may be asked by your supervisors or managers to perform other duties. You will be evaluated in ...

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Showing results 21-40

All JobsData Science JobsData Science Manager Remote JobsData Science Manager Remote Jobs in Frisco, TX

Data Science Manager Remote information

See Frisco, TX salary details

$29K

$90.9K

$161K

How much do data science manager remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science manager remote in Frisco, TX is $90,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $117,500.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Frisco, TX?

For Data Science Manager Remote jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Manager Remote jobs in Frisco, TX look for?

The top searched job categories for Data Science Manager Remote jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Data Science Manager Remote jobs?

Cities near Frisco, TX with the most Data Science Manager Remote job openings:

Data Science Manager Remote jobs near you
Infographic showing various Data Science Manager Remote job openings in Frisco, TX as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $90,921 per year, or $43.7 per hour.

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 22 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.