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Science Manager Jobs in Pennsylvania (NOW HIRING)

Perpay Inc.

Data Scientist Manager

Philadelphia, PA · On-site

Responsibilities : • Lead a Data Science team that spans early-career ICs through senior ICs. • Own hiring, performance management, and technical strategy for the function. • Partner closely ...

Elsevier

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

RELX

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

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How much do science manager jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for science manager in Pennsylvania is $26.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $32.79 per hour, depending on experience, location, and employer.

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

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.
What are the most commonly searched types of Science jobs in Pennsylvania? The most popular types of Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Science Manager jobs? Cities in Pennsylvania with the most Science Manager job openings:
Science Manager jobs near you
Infographic showing various Science Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $54,938 per year, or $26.4 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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