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Data Science Associate Jobs in Pennsylvania (NOW HIRING)

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

... and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Qualifications: Bachelor's degree in Data science, Statistics ...

... and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Qualifications: Bachelor's degree in Data science, Statistics ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Associate Data Engineer

Ambler, PA · Hybrid

$70K - $90K/yr

As an Associate Data Engineer, you will work closely with experienced engineers to develop data ... Collaborate with ontology specialists, data scientists, and application teams to understand ...

... Science team in the Applied Research You will aid our research efforts in this unique problem area ... Combine full spectrum source data with modeling capabilities that associate real world objects to ...

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Showing results 1-20

Data Science Associate information

See Pennsylvania salary details

$57.6K

$68.2K

$129.3K

How much do data science associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science associate in Pennsylvania is $68,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $59,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Pennsylvania? The most popular types of Data Science jobs in Pennsylvania are:
What are popular job titles related to Data Science Associate jobs in Pennsylvania? For Data Science Associate jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Pennsylvania look for? The top searched job categories for Data Science Associate jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Science Associate jobs? Cities in Pennsylvania with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 32% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $68,202 per year, or $32.8 per hour.
Associate Director, Media Data Science

Associate Director, Media Data Science

Avalere Health

Philadelphia, PA • On-site, Remote

$59K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago


Job description

About Avalere Health
United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together - powerfully and intentionally - to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind.
Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere.
Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources.
Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups - Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family's needs.
We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves.
We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application.
We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives.
This role sits at the intersection of data science, media strategy, and client impact - responsible for connecting omnichannel media investment to measurable outcomes and growth.
What You'll Do
  • Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.
  • Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches.
  • Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.
  • Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs.
  • Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.
  • Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets.
  • Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate.
  • Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.
  • Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.
  • Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.
  • Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives.
  • Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function.

About You
  • 6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry.
  • Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling.
  • Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets.
  • Experience with SAS, SPSS, or similar statistical tools preferred.
  • Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources.
  • Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making.
  • Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master's degree preferred.

$120,000 - $165,000 a year
What we can offer
You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August.
Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business.
We encourage all applicants to read our candidate privacy notice before applying to Avalere Health.
We may use AI tools to support elements of the hiring process, such as reviewing applications, analyzing CV/resumes, assessing responses, or transcribing interviews. These tools assist our Talent team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please review our candidate privacy policy.