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No Experience Data Science Mentor Jobs (NOW HIRING)

Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your ...

We're seeking an experienced Data Science Coach to work with clients looking to break into or grow within data science roles. This role includes teaching core data science strategy, machine learning ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Provide support to junior data scientists and assist in mentoring them in analysis techniques and ... Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience ...

Provide support to junior data scientists and assist in mentoring them in analysis techniques and ... Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience ...

Experience developing and deploying advanced analytics, machine learning, artificial intelligence ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Responsibilities : • Lead and mentor a team of data scientists on performance, growth, production ... Required : • 3 years of experience in a related field • 2 years of experience in management and ...

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

Lead and mentor a team of data scientists on performance, growth, production, and day-to-day ... Communicate and embody the culture and mission of the company About you * 3 years of experience in ...

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No Experience Data Science Mentor information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 27, 2026, the average yearly pay for no experience data science mentor in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
More about No Experience Data Science Mentor jobs
What cities are hiring for No Experience Data Science Mentor jobs? Cities with the most No Experience Data Science Mentor job openings:
What are the most commonly searched types of Data Science Mentor jobs? The most popular types of Data Science Mentor jobs are:
What states have the most No Experience Data Science Mentor jobs? States with the most job openings for No Experience Data Science Mentor jobs include:
What job categories do people searching No Experience Data Science Mentor jobs look for? The top searched job categories for No Experience Data Science Mentor jobs are:
Infographic showing various No Experience Data Science Mentor job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Posted 18 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.