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Associate Data Science Analyst Jobs in New Jersey

Lead and manage multiple high-impact analytics programs simultaneously, establishing priorities ... Master's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related ...

Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing ...

In this role, you will lead a team of data scientists in solving some of the most complex and high ... You will guide the development of advanced analytics, AI, and machine learning solutions while ...

In this role, you will lead a team of data scientists in solving some of the most complex and high ... You will guide the development of advanced analytics, AI, and machine learning solutions while ...

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain, Cambridge, Massachusetts, United States of ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

Senior Associate, Data Architect

Clifton, NJ ยท On-site

$84K - $156K/yr

... and analytical requirements Build new Power BI dashboards and reports from scratch as well as ... Science or related field or have completed their Master's degree within the last 12 months ...

New

... science, data strategy, and data solutions.The preferred candidate should have intellectual ... Analytic Accountabilities:-Be accountable for ensuring delivery of analyses with high quality ...

Sr Specialist, Data Science

Rahway, NJ ยท On-site

$129 - $203/hr

... science, data strategy, and data solutions. The preferred candidate should have intellectual ... Mine and analyze data leveraging advanced analytical/statistical techniques from disparate ...

... science, data strategy, and data solutions. The preferred candidate should have intellectual ... Mine and analyze data leveraging advanced analytical/statistical techniques from disparate ...

Showing results 41-60

Associate Data Science Analyst information

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

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

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

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

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

What are the most commonly searched types of Data Science Analyst jobs in New Jersey?

The most popular types of Data Science Analyst jobs in New Jersey are:

What cities in New Jersey are hiring for Associate Data Science Analyst jobs?

Cities in New Jersey with the most Associate Data Science Analyst job openings:

Associate Director, US Market Engagement Data Science & Advanced Analytics

MSD

Rahway, NJ โ€ข On-site

$59K - $60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Job Description

This role will reside within the DHH US Market Engagement Team for Pharma. This team provided strategic thought-partnership to US commercial stakeholders through understanding brand strategy, co-creating DHH demand and associated business requirements aligned to business priorities. The US Market Engagement team Quarterbacks demand fulfillment and leads the activation of DHH products and services.

The Associate Director, US Market Engagement, Data Science & Advanced Analytics, will be responsible for developing data-driven insights to inform brand strategy and tactics in support of the pharma portfolio. This role will focus on applying advanced data science to deliver strategic non-product DHH services to US Pharma Business unit such as HCP targeting/segmentation, call planning, campaign measurement & effectiveness etc.

Key Responsibilities:

  • Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights. Effectively communicating advanced analytics to stakeholders to inform business decisions.

  • Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.

  • Analyze data across disparate databases/sources (including claims/EMR, DDD, and other sources) to develop insights that inform commercial business strategies.

  • Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.

  • Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.

  • Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders.

  • Lead and mentor a team of data scientists and business analysts (on-shore and off-shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project.

The individual in this role will be an independent contributor or lead a small team, supporting commercial insight and analytics needs for US marketing teams. The person will have demonstrated consistently strong leadership skills, an ability to work objectively and deal well with ambiguity and strong partnership skills. They will empower a growth mindset and inspire a culture of continual learning. This role will require interfacing and collaborating with many teams requiring strong communication skills.

The preferred candidate will have an entrepreneurial spirit, consultative and strategic mindset, experience across therapeutic lines. They should have a demonstrated record of producing actionable insights from analytics leveraging digital/technology (AI, agentic etc.). The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. The selected candidate should have a strong understanding of US data landscape of pharma commercial analytics capabilities, and technology, including application of GenAI to drive forward thinking effectiveness. The individual who will thrive in this role will be motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.

Education Requirements:

  • BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health is required.

  • MBA, MS or PhD degree is preferred

Required Experience & Skills:

  • 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.

  • Knowledge in mining patient medical claims/EMR data as well as other healthcare datasets with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.

  • Self-motivated, proactive mindset, and ability to work independently.

  • Story-telling and executive presence with senior leaders.

  • Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.

  • Strong business acumen and consultative skills, with proven ability to comprehend pharmaceutical business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.

  • Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.

  • Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agenticAIand automation can enhance commercial analytics and insight generation.

  • Awareness of the opportunities, limitations, and responsible use ofAI(including agenticAI) in a regulated environment (e.g., data privacy, validation ofAI-generated outputs).

  • Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.

  • Ability to develop efficient programming code and software assets that provide advanced analytical functionality.

  • Proven data science experience leveraging advanced statistical methods, Machine Learning/ Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.

  • Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.

  • Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge

  • Travel may be required <20%.

Preferred Experience and Skills:

  • Preferred: Prior hands-on experience working with healthcare data and leveraging advanced analytics and modeling techniques

  • MBA, MS or PhD degree is a plus.

Required Skills:

Brand Strategy, Business Analysis, Business Processes, Business Strategies, Clinical Immunology, Collaborative Communications, Commercial Analytics, Commercial Strategies, Communication, Customer Engagement, Data Science, Demand Management, Innovation, Leadership, Marketing Data Analytics, Market Research, Natural Language Processing (NLP), Python (Programming Language), Requirements Management, Sourcing and Procurement, Stakeholder Relationship Management, Strategic Planning, Strategic Thinking

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

The salary range for this role is

$156,900.00 - $247,000.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

09/1/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.