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Data Science Manager Jobs in Pittsburgh, PA (NOW HIRING)

Varsity Tutors

Data Science Tutor

Pittsburgh, PA · 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 ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... Flexible Time Off - Autonomy to manage your schedule and work-life balance. * Health, Welfare and ...

Air

Data Scientist

Pittsburgh, PA · On-site

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Familiarity with Git source control management * Experience working in a product organization

Air

Data Scientist

Pittsburgh, PA

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Familiarity with Git source control management * Experience working in a product organization

Air

Data Scientist

Pittsburgh, PA

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Familiarity with Git source control management * Experience working in a product organization

Deloitte

Lead AI and Data Science Engineer II

Pittsburgh, PA · On-site

$99K - $131K/yr

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Brunner

Sr. Data Scientist

Pittsburgh, PA · On-site

Data management tasks include data acquisition from a variety of sources, ingestion, transformation ... science role * Bachelor's or Master's degree in program with heavy emphasis on quantitative ...

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Data Science Manager information

See Pittsburgh, PA salary details

$30.1K

$94.3K

$167K

How much do data science manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science manager in Pittsburgh, PA is $94,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $121,800.00 per year, depending on experience, location, and employer.

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 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 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 timely delivery of data-driven solutions.

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 are the most commonly searched types of Data Science jobs in Pittsburgh, PA? The most popular types of Data Science jobs in Pittsburgh, PA are:
What are popular job titles related to Data Science Manager jobs in Pittsburgh, PA? For Data Science Manager jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Pittsburgh, PA look for? The top searched job categories for Data Science Manager jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Data Science Manager jobs? Cities near Pittsburgh, PA with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $94,307 per year, or $45.3 per hour.

Senior Data Science Manager, User Growth

Duolingo

Pittsburgh, PA • On-site

Full-time

Posted 13 days ago

Job description

Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in!
At Duolingo, you'll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You'll have limitless learning opportunities and daily collaborations with world-class minds - while doing work that's both meaningful and fun.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Read our blog to learn more.
About the role...
Our mission at Duolingo is to develop the best education in the world and make it universally available. With over 500 million users and rapid expansion across new subjects and markets, Duolingo's growth trajectory demands world-class analytical leadership. We're hiring a Senior Data Science Manager to lead the data science function within our Growth pillar, one of the most consequential areas of the business.
This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in forecasting, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.
This role reports to the Head of Data Science & Analytics and partners closely with cross-functional leadership in Engineering, Product, Design, and Finance.
You will...
  • Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
  • Lead a team of 6 to 10 data scientists. Build a culture of professional growth, intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
  • Support and evolve the practice of embedding Data Scientists within product development teams, simultaneously maintaining strong stakeholder connection and function cohesion.
  • Own the design, execution, and interpretation of experiments and analyses that drive decisions on user acquisition, activation, retention, and reengagement. Improve and advocate for the methodological standards that ensure we learn reliably from every test.
  • Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
  • Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables others to operate with data fluency.
  • Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners. Influence strategic decisions through a combination of technical depth and effective communication.
  • Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to elevate every phase of product development.

You have...
  • Experience using data science and analytics to solve product and business problems.
  • Experience managing 5+ person data science teams.
  • A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques.
  • Applied industry experience using causal inference, experimentation, and/or machine learning models. You routinely use analytical tools in messy real world settings where details, confounds, and the validity of assumptions matter.
  • Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, managing performance, and creating an environment where talented scientists do their best work.
  • Strong command of SQL, Python or R, and data/analytics engineering ecosystems. You do not need to write production pipelines, but you need to go deep when the work requires it.
  • Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.

☆ Exceptional candidates will have...
  • Experience operating at a high-growth, data-intensive consumer technology company.
  • Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
  • Demonstrated success in building forecasting systems or attribution models at scale.
  • Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
  • Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
  • An impressive Duolingo streak.

The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$204,000-$306,000 USD
Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here.
Job Alerts: Sign up for job alerts here.
Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we'll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

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