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No Experience Data Science Mentor Jobs in Rutherford, NJ

Contribute to data science best practices and mentor team members to elevate the technical ... Experience in integrating modern software architectures. Knowledge and some experience in ...

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No Experience Data Science Mentor information

See Rutherford, NJ salary details

$38.2K

$125.1K

$200.3K

How much do no experience data science mentor jobs pay per year?

As of Jul 18, 2026, the average yearly pay for no experience data science mentor in Rutherford, NJ is $125,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,600.00 per year, depending on experience, location, and employer.

Is it possible to get a data science job with no experience?

Entry-level data science roles often accept candidates with little to no professional experience if they have relevant skills such as programming in Python or R, knowledge of statistics, and familiarity with data analysis tools. Building a portfolio through projects, certifications, and internships can improve chances of securing such positions. However, most employers prefer candidates who demonstrate practical skills and a strong understanding of data science concepts.

Is 40 too late for data science?

The No Experience Data Science Mentor role indicates that individuals can start learning data science at any age, including 40. Success depends on dedication, acquiring relevant skills like programming and statistics, and building a portfolio through projects or certifications; age is not a barrier to entering the field.

How to find a mentor for data science?

A No Experience Data Science Mentor can be found through online platforms like LinkedIn, industry meetups, or data science communities where experienced professionals offer guidance. Networking, participating in data science bootcamps, and joining relevant forums can also help connect with mentors who can provide advice on skills, tools, and career development.

What is the difference between No Experience Data Science Mentor vs Data Science Intern?

AspectNo Experience Data Science MentorData Science Intern
Required CredentialsNone or basic understanding, often self-taught or online coursesTypically pursuing or completed relevant coursework or degree
Work EnvironmentOnline or in-person mentorship programs, flexible hoursCompany or organization, structured internship program
Employer & Industry UsageEducational platforms, community programs, startupsTech companies, consulting firms, research labs
Search & Comparison IntentUnderstanding entry-level or mentorship roles without experienceGaining practical experience as a beginner in data science

In summary, a No Experience Data Science Mentor typically offers guidance and support to beginners without requiring prior experience, often through online platforms. In contrast, a Data Science Intern is a beginner-level role within a company, providing hands-on experience in real projects. Both roles are suitable for those starting their data science journey but differ mainly in setting and expectations.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of efforts or features. Data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.
What job categories do people searching No Experience Data Science Mentor jobs in Rutherford, NJ look for? The top searched job categories for No Experience Data Science Mentor jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for No Experience Data Science Mentor jobs? Cities near Rutherford, NJ with the most No Experience Data Science Mentor job openings:
Principal, Data Scientist - Personalization

Principal, Data Scientist - Personalization

Vizio

Linden, NJ โ€ข On-site

$132K - $264K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Position Summary...As a Principal Data Scientist, you will lead the design and delivery of machine learning solutions that power personalization and ad targeting across VIZIO. You'll own complex, ambiguous problems end to endโ€”translating product and customer needs into scalable ML models and iterating them through rigorous evaluation and experimentation. You will work closely with Product and Engineering partners to influence direction, navigate technical tradeoffs, and advance longโ€‘term ML strategy. You will set the technical standard for modeling and experimentation, contribute handsโ€‘on advanced deep learning models at scale, and mentor other data scientists with a focus on quality and impact. What you'll do...

We are a machine learning team focused on personalization across VIZIOโ€™s platform. Leveraging expertise in deep learning and statistical data analysis, the group focuses on creating scalable and powerful deep learning models using frameworks like PyTorch and MLflow. Collaborating closely with cross-functional partners, the team continuously enhances model performance and deployment to deliver impactful user experiences. This environment encourages innovation, rigorous testing, and application of best practices to solve complex challenges in recommender systems and ad targeting, contributing to the platformโ€™s growth and customer engagement. 

  • Tackle ambiguous, highโ€‘impact problems by translating product and business questions into wellโ€‘scoped ML and data science work. 

  • Build, evaluate, and iterate on advanced deep learning models for personalization and recommendation. 

  • Design and apply rigorous offline metrics and online experimentation frameworks to measure model and system performance. 

  • Partner closely with Product and Engineering to align on scope, tradeoffs, and execution across multiple teams. 

  • Help define best practices for modeling, experimentation, and ML development, with a focus on robustness and maintainability. 

  • Provide technical mentorship and guidance to other data scientists through reviews, collaboration, and handsโ€‘on problem solving. 

What you'll bring: 

  • Extensive experience designing, training, and deploying machine learning models for real-world systems, particularly in personalization, recommendation, ranking, or targeting. 

  • Deep technical foundations in machine learning and statistics, including experience with representation learning, deep learning architectures, optimization, and model evaluation. 

  • Production Python experience, comfortable with distributed data tools such as PySpark and expertise in modern ML frameworks (e.g. PyTorch, JAX, etc.). You are opinionated about model design, training workflows, and evaluation/experimentation strategies. 

  • Comfortable operating in ambiguous, technically complex problem spaces, taking ownership from initial formulation through deployment and iteration. 

  • Enjoy raising the technical bar through mentorship, design reviews, and hands-on collaboration with other data scientists. 

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. 

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. 

For information about PTO, see https://one.walmart.com/notices. 

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. 

For information about benefits and eligibility, see One.Walmart. 

The annual salary range for this position is $132,000.00 - $264,000.00 

Additional compensation includes annual or quarterly performance bonuses. 

Additional compensation for certain positions may also include : 

- Stock 

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmartโ€™s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... , STE 4800 NEW YORK, NY 10118-4801, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.