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Entry Level Data Scientist Jobs in Rutherford, NJ

Associate Data Scientist

Manhattan, NY ยท On-site

$64K - $65K/yr

We are seeking an Associate Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Office Assistant

New York, NY ยท Remote

$54K - $60K/yr

Students pursuing degrees in Business, Human Resources, Computer Science, or related fields are ... Perform general office and clerical duties, including filing, data entry, document preparation, and ...

Entry Level Office Assistant

New York, NY ยท Remote

$54K - $60K/yr

Students pursuing degrees in Business, Human Resources, Computer Science, or related fields are ... Perform general office and clerical duties, including filing, data entry, document preparation, and ...

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Entry Level Data Scientist information

See Rutherford, NJ salary details

$46.9K

$168.2K

$248.2K

How much do entry level data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for entry level data scientist in Rutherford, NJ is $168,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $173,300.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Rutherford, NJ? The most popular types of Data Scientist jobs in Rutherford, NJ are:
What job categories do people searching Entry Level Data Scientist jobs in Rutherford, NJ look for? The top searched job categories for Entry Level Data Scientist jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Entry Level Data Scientist jobs? Cities near Rutherford, NJ with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist/Analyst/Java full stack developer

Entry Level Data Scientist/Analyst/Java full stack developer

SynergisticIT

Manhattan, NY โ€ข On-site

Other

Re-posted 22 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Donโ€™t Need Luck โ€” You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, itโ€™s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. Youโ€™ll work on highโ€‘demand technologies, build realโ€‘world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You donโ€™t need luck โ€” you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or youโ€™re about to) and the job search is already feeling confusing, youโ€™re not imagining it. A degree proves you can learnโ€”but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. Thatโ€™s why many new grads send hundreds of applications and still hear nothing back. Itโ€™s not because youโ€™re โ€œnot smart enough.โ€ Itโ€™s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AIโ€”full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AIโ€”so you donโ€™t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95kโ€“$154k range depending on role and skill depth. For a new grad, the bigger message isnโ€™t the numberโ€”itโ€™s that results require a structured pathway, not random applications. Hereโ€™s a realistic way to think about your advantage as a fresh graduate: youโ€™re early enough to build the right foundation before bad habits set in. If you master fundamentalsโ€”coding, debugging, data structures, system thinkingโ€”and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of โ€œentry-levelโ€ candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates arenโ€™t โ€œtool collectorsโ€โ€”theyโ€™re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuckโ€” Fresh grads often struggle for four predictable reasons: Resume doesnโ€™t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says โ€œyes.โ€ Who this path fits best If youโ€™re a recent graduate, youโ€™ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelorโ€™s or Masterโ€™s programs who need a real hiring plan Candidates who apply consistently but donโ€™t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If youโ€™re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills โ†’ portfolio โ†’ interview readiness โ†’ targeted applications โ†’ scheduled interviews โ†’ offer. If you want to explore, here are the key links: Please check below links: Event videos (OCW, JavaOne, Gartner):https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you donโ€™t need โ€œmore random courses.โ€ You need a guided, job-focused path and the right people around you. In tech, itโ€™s not just what you learnโ€”itโ€™s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume