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

Data Science Tutor

Round Rock, TX · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Austin, TX · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

San Marcos, TX · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within ... Our hiring process is managed in-house and the best way for candidates to express interest is by ...

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Operating under the general guidance of the VP of Data Insights & Innovation, this role leads and manages the organization's Data Science team while serving as the primary data science authority ...

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Operating under the general guidance of the VP of Data Insights & Innovation, this role leads and manages the organization's Data Science team while serving as the primary data science authority ...

Operating under the general guidance of the VP of Data Insights & Innovation, this role leads and manages the organization's Data Science team while serving as the primary data science authority ...

Operating under the general guidance of the VP of Data Insights & Innovation, this role leads and manages the organization's Data Science team while serving as the primary data science authority ...

Operating under the general guidance of the VP of Data Insights & Innovation, this role leads and manages the organization's Data Science team while serving as the primary data science authority ...

Manage a team of data scientists, providing coaching, mentorship and performance management, and fostering a culture of curiosity and continuous learning * Solution delivery: Oversee end-to-end ...

Manage a team of data scientists, providing coaching, mentorship and performance management, and fostering a culture of curiosity and continuous learning * Solution delivery: Oversee end-to-end ...

... management. * Certifications in Azure (e.g., Azure Data Engineer, Azure AI Engineer) are a plus. * Knowledge of DevOps practices for data science workflows.

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Showing results 1-20

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 Jul 26, 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 are the primary responsibilities of a Data Science Manager on a day-to-day basis?

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 is a Data Science Manager job?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

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 between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

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 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:
What are popular job titles related to Data Science Manager jobs in Austin, TX? 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $96,291 per year, or $46.3 per hour.
Senior Data Science Manager - Strategic Data Solutions

Senior Data Science Manager - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Posted 4 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple's Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You'll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description
• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
• Evangelize data science best practices and help embed a data-informed culture across teams
• Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
Experience with building robust monitoring systems to track data and model health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976