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Entry Level Data Science Jobs in Hackettstown, NJ

Labcorp

Laboratory Robotics Operator

Raritan, NJ · On-site

$18.25/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

Labcorp

Laboratory Robotics Operator

Raritan, NJ · On-site

$18.25/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

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Entry Level Data Science information

See Hackettstown, NJ salary details

$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level data science in Hackettstown, NJ is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.12 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What cities near Hackettstown, NJ are hiring for Entry Level Data Science jobs? Cities near Hackettstown, NJ with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Hackettstown, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,949 per year, or $19.7 per hour.

Pricing, Promotions, and Revenue Senior Associate - Pharma

Pwc

Florham Park, NJ • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants

Job description

Industry/Sector

Pharma and Life Sciences

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Pricing, Promotions, and Revenue Senior Associate - Pharma, you will specialize in providing consulting services focused on enhancing the overall customer experience within our Commercial & Service Excellence network. You will analyze customer touchpoints, design customer journey maps, and offer guidance to help clients create seamless and personalized experiences that drive customer satisfaction and loyalty. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn't clear.
In this role, you will be part of our Pricing, Promotions & Revenue Management team, working closely with clients in the Pharma and Life Sciences sector. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will develop a deeper understanding of the business context and how it is changing, using these moments as opportunities to grow.
Responsibilities
- Analyzing client needs to develop customer-centric solutions that enhance customer experience and drive business growth
- Designing customer journey maps to create seamless and personalized experiences that increase customer satisfaction and loyalty
- Utilizing analytical thinking and trend analysis to inform strategic recommendations for client engagements
- Managing sales funnels and customer engagement strategies to optimize revenue generation and client retention
- Collaborating with cross-functional teams to implement business process improvements and customer strategies
- Interpreting data to provide insights and recommendations that align with broader business objectives
- Upholding professional and technical standards while maintaining compliance with industry regulations
- Building meaningful client connections and fostering teamwork to achieve project goals and deliverables
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer Engineering, Information CyberSecurity, Computer and Information Science, Information Technology, Management Information Systems, Computer Applications

- Prior experience in pricing, promotions, revenue growth management, and related analytics, including direct project work with pharmaceutical or life sciences clients and experience within P&LS organizations or consulting firms
- Demonstrating analytical thinking and business process improvement
- Engaging in customer strategy and customer engagement
- Utilizing trend analysis and sales funnel management
- Excelling in teamwork and communication
- Applying intellectual curiosity to solve complex problems

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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