ZipRecruiter

Log In

1

Data Science Associate Jobs in Newark, NJ (NOW HIRING)

The Farmer's Dog

Food Science Associate

New York, NY · On-site

$15.25 - $20/hr

The Associate Food Scientist will be an organized, proactive contributor who helps the team execute ... We don't think of ourselves as "Acquisition Marketers", "Engineers", "Data Analysts", or "Product ...

JPMorgan Chase & Co

Data Scientist Associate

Manhattan, NY · On-site

$65K - $65K/yr

As an Associate Data Scientist, you will partner with a sales-focused organization to deliver ... Your work will integrate data science, research, and business domain expertise to inform strategic ...

Verizon

Associate Director- Data Science

Basking Ridge, NJ · On-site

$60K - $61K/yr

Data Science: * Design, implement, and orchestrate advanced AI solutions, including Generative AI and autonomous agent workflows (e.g., multi-agent systems), to automate complex processes and ...

Sigmoid

Principal Data Scientist

Newark, NJ

... Associate Director - Data Science Location: NY / NJ (USA) Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

... Associate Director - Data Science Location: NY / NJ (USA) Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this ...

next page

Showing results 1-20

All JobsData Science Associate JobsData Science Associate Jobs in Newark, NJ

Data Science Associate information

See Newark, NJ salary details

$60.1K

$71.2K

$134.9K

How much do data science associate jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science associate in Newark, NJ is $71,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $62,200.00 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?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

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 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 is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Newark, NJ? The most popular types of Data Science jobs in Newark, NJ are:
What job categories do people searching Data Science Associate jobs in Newark, NJ look for? The top searched job categories for Data Science Associate jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Data Science Associate jobs? Cities near Newark, NJ with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Newark, NJ as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $71,150 per year, or $34.2 per hour.
Associate Director, Data Science - Market Access

Associate Director, Data Science - Market Access

Sanofi EU

Newark, NJ • On-site

$61K - $62K/yr

Full-time

Posted 15 days ago

Job description

Job Title: Associate Director, Data Science - Market Access

Location: Cambridge, MA, Morristown, NJ

About the Job

Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs.

Join Sanofi in one of our US Market Access Shared Services functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. Work collaboratively with matrix partners to manage the strategic attainment of product access and appropriate reimbursement at key customers by participating in and overseeing the negotiation process of financial terms, as well as documented terms and conditions, for assigned customers.

About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

 

As the Associate Director of Data Science, you will lead the development and delivery of advanced analytics solutions to support market access and pricing decisions. You will perform sophisticated analyses on patient longitudinal data, develop interactive dashboards and reports, and translate complex data into actionable insights for stakeholders. Your role will involve partnering with various departments to support strategic initiatives and leveraging analytics capabilities to enhance data-driven decision-making. Core responsibilities of the role are as follows:

  • Design, develop, and deploy predictive models and analytical solutions using Dagster/Airflow and DBT workflows to drive data-informed market access and pricing decisions. Hands on experience with R and/or Python is required.

  • Architect and maintain scalable datasets that integrate with existing data engineering infrastructure and support cross-functional analytical needs

  • Create interactive dashboards and reports using business intelligence tools that translate complex data into actionable insights for stakeholders

  • Perform advanced statistical analysis on patient longitudinal data and large customer datasets to identify trends, patterns, and strategic opportunities

  • Develop and implement machine learning algorithms to enhance forecasting capabilities and predictive analytics across market access functions

  • Collaborate closely with the data engineering team, SQL developers, and analytics product management to ensure data quality, pipeline efficiency, and business alignment

  • Serve as the technical bridge between data engineering infrastructure and business-facing analytics, ensuring seamless integration of analytical solutions

  • Partner cross-functionally with Pricing, Contract Development, Value and Access, Account Management, Finance, Forecasting, and Data Management teams to drive strategic initiatives

  • Communicate complex analytical findings through compelling data narratives and visualizations tailored to diverse audiences

  • Continuously evaluate and implement emerging methodologies and technologies in data science to advance the team's predictive capabilities

About You

Experience:

  • 5+ years of experience in data science or advanced analytics within Pharmaceutical or Payer organizations

    5+ years of hands-on experience building and deploying predictive models and machine learning solutions on large-scale datasets

  • Demonstrated experience working with workflow orchestration tools (Dagster, Airflow, or similar) to productionize analytical models

  • Proven track record of translating business problems into data science solutions that drive measurable outcomes

  • Experience collaborating with data engineering teams and contributing to data pipeline development

Technical Skills:

  • Advanced proficiency in Python or R for statistical modeling, machine learning, and data analysis

  • Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) and predictive modeling techniques

  • Hands-on experience with workflow orchestration platforms (Dagster, Airflow, Prefect, or similar)

  • Proficiency in SQL for complex data manipulation and working with relational databases

  • Expertise in data visualization tools (Tableau, Power BI, or similar) and creating executive-level dashboards

    Experience with cloud platforms (Kubernetes) and modern data stack technologies

  • Strong foundation in statistical methods, experimental design, and A/B testing

  • Understanding of MLOps principles and model deployment best practices

Domain Knowledge:

  • Deep understanding of pharmaceutical market access, pricing strategies, and reimbursement dynamics

  • Experience analyzing longitudinal patient data, claims data, and formulary datasets

  • Working knowledge of the US healthcare system, payer landscape, and regulatory environment

  • Familiarity with healthcare data standards (e.g., NDC, HCPCS, ICD codes, IQVIA)

     

Soft Skills:

  • Exceptional problem-solving abilities with a structured, hypothesis-driven approach

  • Strong communication skills with ability to translate complex technical concepts for non-technical stakeholders

  • Proven ability to manage multiple analytical projects simultaneously and meet deadlines

  • Collaborative mindset with experience working across data engineering, product management, and business teams

  • Detail-oriented with strong organizational and project management capabilities

  • Self-directed learner who stays current with emerging data science methodologies and technologies

  • Ability to mentor and provide technical guidance to developers and junior analysts

     

     

Education:

  • BA or BS Degree

  • Advanced Degree

Why Choose Us? 

  • Bring the miracles of science to life alongside a supportive, future-focused team. 

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or a lateral move, at home or internationally. 

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. 

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave. 

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

#GD-SG 
#LI-GZ    

#LI-Onsite

#vhd   

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Apply