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Entry Level Data Science Jobs in Harrison, NJ (NOW HIRING)

Generative AI Analyst

New York, NY ยท On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field โ— 0-2 years of professional experience (personal projects ...

Generative AI Analyst

New York, NY ยท On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field โ€ข 0-2 years of professional experience (personal projects ...

Perform data analysis to support internal and external project needs. Design basic programs for ... Bachelor's/Master's degree, preferably in Computer Science, Information Technology, Computer ...

Healthcare Analyst

Bronx, NY ยท On-site

$20 - $25/hr

... care Administration, Data Science, Operations, or a related field. * Strong foundational ... What We Offer * Entry-level opportunity with hands-on exposure to real-world operational analytics

... data scientists, AI engineers, program managers, a model validation & governance group, and a communications & development group. The AI Engineer is an entry-level engineering role designed for early ...

Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Be Seen First

Entry-Level Python Developer Fulltime Candidate Must be open to relocate We are looking for a ... Bachelor's degree in Computer Science, Information Technology, or a related field. * 0-2 years of ...

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Entry Level Data Science information

See Harrison, NJ salary details

$11

$19

$28

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

As of Jul 16, 2026, the average hourly pay for entry level data science in Harrison, NJ is $19.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $22.40 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Harrison, NJ? The most popular types of Data Science jobs in Harrison, NJ are:
What are popular job titles related to Entry Level Data Science jobs in Harrison, NJ? For Entry Level Data Science jobs in Harrison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Harrison, NJ look for? The top searched job categories for Entry Level Data Science jobs in Harrison, NJ are:
What cities near Harrison, NJ are hiring for Entry Level Data Science jobs? Cities near Harrison, NJ with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Harrison, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $41,507 per year, or $20 per hour.
Generative AI Analyst

Generative AI Analyst

Simulmedia

New York, NY โ€ข On-site, Remote

$50K - $60K/yr

Full-time

Posted 10 days ago


Job description

AI Analyst
New York City, NY (On-site)
Entry-Level Opportunity for Recent Graduates

ย 
Simulmedia is transforming the way brands, marketers and agencies reach audiences. Our leading advertising platform, TV+, allows clients to unlock new viewers across linear TV, CTV, and PlayerWON enables reach in video games. Meanwhile, our innovative Skybeam platform makes it easy for any brand to be on TV and have all of the tools needed for planning, execution, and post-campaign optimization.
ย 
We seek an entry-level AI Analyst to join our team to research, prototype and implement AI solutions for our products and processes. The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a self-starter mentality and the ability to quickly learn and adapt in this rapidly evolving space.
ย 
Responsibilities
โ—ย ย ย ย ย  Research and evaluate emerging AI technologies and tools with potential applications for our business
โ—ย ย ย ย ย  Prototype AI-powered solutions to enhance our products and improve internal workflows
โ—ย ย ย ย ย  Implement and deploy production-ready AI capabilities that create measurable improvements
โ—ย ย ย ย ย  Lead the rollout of successful AI solutions to teams across the organization
โ—ย ย ย ย ย  Provide hands-on support and troubleshooting during implementation phases
โ—ย ย ย ย ย  Collaborate with cross-functional teams to understand business needs and develop AI-driven solutions
โ—ย ย ย ย ย  Stay current with the latest developments in GenAI, LLMs, and related technologies
โ—ย ย ย ย ย  Document findings, implementations, and best practices for AI applications
โ—ย ย ย ย ย  Train and educate team members on effectively leveraging AI technologies
โ—ย ย ย ย ย  Create and deliver presentations to stakeholders highlighting AI implementation and business impact
โ—ย ย ย ย ย  Analyze the impact of AI implementations and make data-driven recommendations for improvements
ย 
Qualifications
โ—ย ย ย ย ย  Bachelor's degree in Computer Science, Business, Data Science, or related field
โ—ย ย ย ย ย  0-2 years of professional experience (personal projects, coursework, and self-directed learning highly valued)
โ—ย ย ย ย ย  Demonstrated passion for GenAI and LLMs through personal projects, online courses, or contributions
โ—ย ย ย ย ย  Basic understanding of machine learning concepts and natural language processing
โ—ย ย ย ย ย  Experience with AI platforms and tools (e.g., OpenAI, Anthropic, Hugging Face, etc.)
โ—ย ย ย ย ย  Familiarity with programming languages commonly used in AI applications (Python, JavaScript)
โ—ย ย ย ย ย  Experience taking projects from concept to implementation in a collaborative environment
โ—ย ย ย ย ย  Strong business acumen with the ability to identify AI solutions that drive tangible business value
โ—ย ย ย ย ย  Excellent presentation skills and ability to communicate complex AI concepts to business stakeholders
โ—ย ย ย ย ย  Experience creating compelling presentations and documentation for technical and non-technical audiences
โ—ย ย ย ย ย  Strong problem-solving abilities and a curiosity-driven approach to learning
โ—ย ย ย ย ย  Self-motivated with the ability to learn independently in a rapidly changing field
โ—ย ย ย ย ย  Enthusiasm for teaching others and sharing knowledge about AI applications
ย 
This role offers an exciting opportunity to work at the forefront of AI innovation within the ad tech space. The ideal candidate will be passionate about exploring how AI can transform our business, eager to continuously expand their knowledge, and excited to share that expertise with others across the organization.
We're required to include a reasonable estimate of the compensation range for this role.ย Compensation decisions are dependent on the unique facts and circumstances of each case, but a reasonable estimate of the current base range for this role is $50,000 - $60,000. Note that this range is specific to national metro areas and that offers take into account a wide variety of potential factors considered in compensation, including but not limited to skill, qualifications, accomplishments, experience, credentials, and business needs. Simulmedia offers competitive pay relative to its peers plusย a wide range of best-in-class, comprehensive, and inclusive employee benefits. To learn more, visit ourย Careers Website.
ย 
ย 
Check out our Excellent Benefits & Perks
โ—ย ย ย ย ย  Fully paid premiums for employees medical, dental, vision, short-term disability, long-term disability and life-insurance coverage for full-time employees
ย โ—‹ย ย ย ย ย  Medical by UnitedHealthCare
ย โ—‹ย ย ย ย ย  Dental by Guardian
ย โ—‹ย ย ย ย ย  Vision by EyeMed
โ—ย ย ย ย ย  Pre-tax plans for medical flexible spending, dependent care and transit/parking
โ—ย ย ย ย ย  One-day-per-week remote schedule and flexible hours for better work/life balance in our New York office
โ—ย ย ย ย ย  Flexible paid time off (PTO)
โ—ย ย ย ย ย  Sick time off
โ—ย ย ย ย ย  Extensive holiday schedule
โ—ย ย ย ย ย  Generous parental leave policies after a year of service
โ—ย ย ย ย ย  Phone and Data reimbursement program
โ—ย ย ย ย ย  Fully paid Citi Bike membership and helmet stipend with Seamless+ and Lyft Pink
โ—ย ย ย ย ย  Pet-friendly office
โ—ย ย ย ย ย  Monthly happy hours, quarterly team building, plus tons of other fun events!
โ—ย ย ย ย ย  Park Avenue office with 360-degree views and fully stocked kitchens
ย 
Simulmediaย prioritizes diversity and representation in recruiting, embraces people of all backgrounds and works to create an inclusive culture to help all of our people thrive. We provide equal employment opportunities to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, height, weight, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type is not tolerated at Simulmedia. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, time off, and compensation.
ย 
Simulmedia is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us atย careers@simulmedia.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment 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 contact us.