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No Experience Data Science Mentor Jobs in Rutherford, NJ

Nokia

Data Science Co-op

Murray Hill, NJ · Hybrid

We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the ... Employee Growth Solutions, mentorship programs, and coaching support for your career development

Point72

Data Scientist

New York, NY

Conduct thorough data analysis under the mentorship of a senior quantitative researcher. * Generate ... Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial ...

Point72

Data Scientist

New York, NY · On-site

Conduct thorough data analysis under the mentorship of a senior quantitative researcher. * Generate ... Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial ...

Smarsh

Lead Data Scientist

New York, NY · On-site

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Valley Bank

Data Scientist

Morristown, NJ · On-site

Drive a strong data-driven culture within the company by mentoring data analysts and increasing ... Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools ...

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All JobsNo Experience Data Science Mentor JobsNo Experience Data Science Mentor Jobs in Rutherford, NJ

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 Jun 26, 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 limited or 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 a data science position without prior work experience.

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, regardless of age.

Do 87% of data science projects fail?

The claim that 87% of data science projects fail is often cited but lacks consistent empirical evidence. Data science projects can face challenges such as unclear objectives, data quality issues, and misaligned expectations, which can lead to failure; success often depends on proper planning, skills, and stakeholder communication. As a data science mentor, understanding these factors helps guide projects toward better outcomes.

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 the most impactful variables or tasks to optimize model performance and efficiency, making it a useful principle for prioritization and resource allocation.
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:
No Experience Data Science Mentor jobs near you
Quants Associate - Data Science

Quants Associate - Data Science

Royal Bank of Canada

New York, NY • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Job Description
Junior Data Scientist - Quantitative Analytics
What is the opportunity?
This role exists within our Quant organization to help turn large, complex datasets into clear insights that support better decision-making across the team. You'll sit within a cross-asset quant team where different members specialize in equities, municipal bonds, corporate bonds, and other asset classes. You'll develop deep expertise in one area while gaining broader exposure to how data science is applied across multiple markets.
The Junior Data Scientist will work closely with senior quants and team members to build, test and improve data-driven models that enhance pricing, risk assessment, and operational efficiency. By delivering reliable analysis and scalable tools, this role contributes to more informed strategies, improved performance, and reduced manual effort. It supports the team's broader goal of using data to drive smarter, faster, and more consistent business outcomes.
What will you do?
  • Collaborate with traders, quants, and senior team members to translate business questions into data-driven solutions
  • Develop and test statistical and machine learning models to support pricing, risk, and decision-making
  • Analyze structured and unstructured data to identify patterns, trends, and actionable insights
  • Develop specialized expertise in one asset class (such as equities, municipal bonds, or corporate bonds) while collaborating with team members working across other markets
  • Monitor model performance and improve accuracy through ongoing validation and refinement
  • Create clear visualizations and reports to communicate findings to both technical and non-technical stakeholders
  • Assist with automating manual processes to improve efficiency and scalability across workflows
  • Build and maintain data pipelines to collect, clean, and organize large datasets for analysis
What do you need to succeed?
Must-have
  • Master's degree in computer science, mathematics, statistics, engineering, or related quantitative field. PhD is a plus.
  • Strong programming skills in Python, including experience with data analysis libraries such as Pandas and NumPy
  • Hands-on experience building and evaluating machine learning models using frameworks such as scikit-learn, PyTorch, or TensorFlow
  • Strong foundations in probability and statistics, including hypothesis testing and analysis techniques
  • Experience working with real-world datasets and developing data-driven solutions through academic or project work

Nice-to-have
  • Experience with KDB/q or familiarity with time-series databases and large-scale data systems
  • Basic knowledge of SQL and working with relational databases
  • Experience with Java or other object-oriented programming languages
  • Interest in financial markets and curiosity about how different asset classes operate
What's in it for you?
  • Work on real-world datasets and models that directly influence business decisions and outcomes
  • Gain hands-on experience in machine learning and data analysis while building production-level tools
  • Learn from experienced quants and team members in a collaborative and high-performing environment
  • Develop deep expertise in one asset class while gaining exposure to data science applications across equities, fixed income, and other markets
  • Contribute to meaningful projects that improve efficiency and reduce manual processes across the team
  • Clear progression path with opportunities to take on increasingly complex projects and grow into senior technical roles
  • Competitive compensation and a comprehensive benefits package supporting your overall well-being

The Expected Salary Range For The Above Position Is $110,000 - $135,000 Depending On Factors Including But Not Limited To The Candidate'S Experience, Skills, Registration Status; Market Conditions; And Business Needs. This Salary Range Does Not Include Other Elements Of Total Compensation, Including A Discretionary Bonus And Benefits Such As A 401(K) Program With Company-Matching Contributions; Health, Dental, Vision, Life And Disability Insurance; And Paid Time-Off Plan.
Rbc'S Compensation Philosophy And Principles Recognize The Importance Of A Highly Qualified Global Workforce And Plays A Critical Role In Attracting, Engaging And Retaining Talent That:
• Drives Rbc'S High Performance Culture
• Enables Collective Achievement Of Our Strategic Goals
• Generates Sustainable Shareholder Returns And Above Market Shareholder Value
#LI-POST
Job Skills
Analytics, Computer Science, Critical Thinking, Data Science, Economic Analysis, Financial Derivatives, Financial Instruments, Machine Learning (ML), Problem Solving, Python (Programming Language), Quantitative Methods, Statistics
Additional Job Details
Address:
BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK
City:
New York
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
CAPITAL MARKETS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-05-04
Application Deadline:
2026-07-24
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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