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Data Science Manager Jobs in Austin, TX (NOW HIRING)

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Senior Data Scientist

Austin, TX · On-site

$155K - $200K/yr

Strong analytical thinking, problem-solving, communication, and stakeholder management skills Preferred Qualifications * Master's or Ph.D. degree in Computer Science, Data Science, Artificial ...

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology ... Deliver results on time while managing risks and maintaining methodological and operational quality.

Strong analytical thinking, problem-solving, communication, and stakeholder management skills Preferred Qualifications * Master's or Ph.D. degree in Computer Science, Data Science, Artificial ...

You'll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. This is a ...

Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation. * Communicates clearly with product managers, engineers, and ...

Senior Lead Data Scientist

Austin, TX · On-site

$204K - $226K/yr

Orchestrate efforts across multiple teams, managing dependencies and setting realistic timelines ... Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.

As the global leader in work and resource management, Planview helps organizations accelerate the ... Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a ...

As the global leader in work and resource management, Planview helps organizations accelerate the ... Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a ...

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting ... quality management. * Develop and automate predictive modeling processes that can be deployed ...

Showing results 21-40

Data Science Manager information

See Austin, TX salary details

$30.7K

$96.3K

$170.5K

How much do data science manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science manager in Austin, TX is $96,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Austin, TX?

The most popular types of Data Science jobs in Austin, TX are:

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

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

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

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

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

Infographic showing various Data Science Manager job openings in Austin, TX as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $96,291 per year, or $46.3 per hour.

Data Science Intern - Summer 2027

WhiteWater Midstream

Austin, TX • On-site

Temporary, Internship

Posted 8 days ago


Job description

WWM Logistics, LLC is seeking a Data Science Intern to support its natural gas trading desk. This role sits at the intersection of daily market reporting and deeper quantitative analysis, providing traders with the timely fundamental data they need to evaluate supply and demand, while also partnering with the Data Scientist and Strategist on model development aimed at generating trading signals. This is an ideal opportunity for a detail-oriented, quantitatively skilled early-career professional looking to build a career in commodity trading and market analytics.
This role is the natural next step for graduates of WWM's Natural Gas Analyst / Data Science Internship. Completion of the internship is valued but not required - we also hire directly into this role.
Responsibilities:
Daily Fundamentals Reporting
  • Build, maintain, and deliver standardized daily reports summarizing natural gas supply and demand fundamentals (production, storage, weather-driven demand, pipeline flows, rig counts) used directly by traders to inform positioning
  • Own the rollout of these standardized reports and monitor them on an ongoing basis, troubleshooting data issues and refining processes to reduce manual turnaround time and improve reliability
  • Monitor and flag material shifts in fundamental data that could influence price movement, escalating findings to traders and senior analysts in real time
  • Maintain data integrity across multiple third-party and internal data sources (e.g., EIA, pipeline bulletin boards, weather services, production estimates)

Modeling & Analytics
  • Partner with the Data Scientist and Strategist to develop and refine quantitative models aimed at identifying trading signals from fundamental and market data
  • Support back-testing and validation of new analytical approaches, helping translate research into production-ready tools
  • Assist in building supply/demand balance models and scenario analyses across key basins and pipeline systems
  • Contribute to the automation and scaling of data pipelines that feed both daily reporting and longer-term research projects

Cross-Functional Support
  • Collaborate with traders to understand evolving information needs and adjust reporting/modeling priorities accordingly
  • Support ad hoc analysis requests tied to specific trading opportunities, contract structuring, or market events
  • Document methodologies and maintain clear version control across reporting and modeling tools

Qualifications:
Required
  • Bachelor's degree in Business, Finance, Economics, Mathematics, or a related quantitative field, preferably a May 2028 grad.
  • Working knowledge of SQL and Python or similar language for data analysis
  • Demonstrated interest in commodity markets, trading, or energy fundamentals (coursework, internships, trading simulations/competitions, or independent projects)
  • Excellent attention to detail and ability to manage recurring deliverables under time pressure
  • Strong written and verbal communication skills; ability to translate technical analysis for a trading audience
  • WhiteWater does not offer housing. Position is required to be in-office at our Austin location

Preferred
  • Prior completion of WWM's Data Science Internship, or equivalent internship experience in energy trading, fundamentals, or data analytics
  • Master's degree in Business, Finance, Economics, Mathematics, or a related quantitative field
  • Experience with data visualization tools (Power BI, Tableau)
  • Prior exposure to natural gas or broader energy markets
  • Experience with trading simulations, mock portfolios, or derivatives strategy
  • Ability to think critically and explain technical work to other colleagues

What Success Looks Like in the First Year:
  • Fully owns and continuously improves the daily fundamentals reporting suite, with traders relying on it as a core input to daily decision-making
  • Has contributed meaningfully to at least one modeling initiative alongside the Data Scientist/Strategist that has been incorporated into trading discussions
  • Demonstrates growing fluency in natural gas market structure, pipeline mechanics, and the specific basins/systems relevant to the desk's positions