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

... 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 ...

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 ... Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and ...

Manage the execution of data science strategies and initiatives, including the design, development ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Manage the execution of data science strategies and initiatives, including the design, development ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Manage the execution of data science strategies and initiatives, including the design, development ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Manager, Remote Sales

Fort Worth, TX · Remote

$93K - $155K/yr

The Remote Sales Manager (M2) leads a fully remote tele-sales team and is accountable for ... Deliver structured, data-driven coaching * Conduct performance reviews and development planning

New

Manager, Remote Sales

Fort Worth, TX · Remote

$93K - $155K/yr

The Remote Sales Manager (M2) leads a fully remote tele-sales team and is accountable for ... Deliver structured, data-driven coaching * Conduct performance reviews and development planning

New

Manager, Remote Sales

Fort Worth, TX · Remote

$93K - $155K/yr

The Remote Sales Manager (M2) leads a fully remote tele-sales team and is accountable for ... Deliver structured, data-driven coaching * Conduct performance reviews and development planning

New

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 ...

... remote applicants, preferably near major Ardurra offices. Ardurra is a multidisciplinary civil ... Master's degree in Data Science, Analytics, Computer Science, Engineering, or Business.

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

Showing results 21-40

Data Science Manager Remote information

See Dallas, TX salary details

$30.7K

$96.1K

$170.1K

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

As of Aug 9, 2026, the average yearly pay for data science manager remote in Dallas, TX is $96,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 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 the most commonly searched types of Data Science Remote jobs in Dallas, TX? The most popular types of Data Science Remote jobs in Dallas, TX are:
What are popular job titles related to Data Science Manager Remote jobs in Dallas, TX? For Data Science Manager Remote jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Dallas, TX look for? The top searched job categories for Data Science Manager Remote jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Science Manager Remote jobs? Cities near Dallas, TX with the most Data Science Manager Remote job openings:

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 15 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.