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Afternoon Data Science Mentor Jobs (NOW HIRING)

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

ESSENTIAL DUTIES AND RESPONSIBILITIES Under the guidance of supervisors and scientific mentors, the ... Participate in data validation, quality assurance, and documentation activities to ensure ...

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You should be equally comfortable debating statistical methodology, mentoring a team, partnering ...

You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... by mentorship and a collaborative work environment. You Have: * Bachelor's degree in Computer ...

You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value. In this role, you will deeply ...

You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value. In this role, you will deeply ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development. * Execution & Delivery: Own the end-to-end lifecycle of ML ...

Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements - Essential * 3+ years of applied data science experience in ...

Showing results 21-40

Afternoon Data Science Mentor information

What does an afternoon data science mentor do?

An Afternoon Data Science Mentor guides and supports students or junior data scientists during afternoon hours, helping them understand key data science concepts, troubleshoot problems, and complete projects. They typically provide one-on-one or group mentoring sessions, answer questions related to programming, statistics, and machine learning, and offer career advice within the data science field. Their goal is to facilitate learning and ensure students gain practical skills needed for data science roles.

What are the key skills and qualifications needed to thrive as an afternoon data science mentor?

To thrive as an Afternoon Data Science Mentor, you need expertise in data analysis, machine learning, and programming languages such as Python or R, typically backed by a degree in a quantitative field and relevant industry experience. Familiarity with tools like Jupyter Notebook, Git, and data visualization platforms, as well as mentorship or teaching certifications, is often required. Strong communication, patience, and the ability to give constructive feedback are crucial soft skills for effectively guiding and supporting learners. These skills are essential to foster student growth, ensure comprehension of complex topics, and create a positive, engaging educational environment.

How does an afternoon data science mentor typically support students during their sessions?

As an Afternoon Data Science Mentor, you’ll work closely with students to clarify complex data science concepts, provide guidance on projects, and offer feedback on assignments. Mentors often facilitate group discussions, conduct one-on-one check-ins, and help students troubleshoot technical issues. The role requires patience, strong communication skills, and the ability to adapt explanations for learners with diverse backgrounds. Collaboration with other mentors and instructional staff is common to ensure students receive well-rounded support and up-to-date information.

What is the difference between Afternoon Data Science Mentor vs Data Science Instructor?

AspectAfternoon Data Science MentorData Science Instructor
CredentialsTypically requires a data science background, certifications, and mentoring experienceRequires a background in data science or related field, often with teaching certifications
Work EnvironmentOne-on-one or small group mentoring sessions, flexible hoursClassroom or online teaching, structured curriculum
Employer & IndustryEducational platforms, bootcamps, private coachingUniversities, coding bootcamps, online course providers
Search & Comparison IntentLooking for personalized guidance and mentorship in data scienceSeeking formal instruction or courses in data science

The main difference is that an Afternoon Data Science Mentor offers personalized, flexible mentorship to individuals, focusing on practical skills and guidance. In contrast, a Data Science Instructor provides structured teaching in a classroom or online setting, often following a set curriculum. Both roles require data science expertise but differ in delivery style and environment.

What cities are hiring for Afternoon Data Science Mentor jobs?

Cities with the most Afternoon 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 Afternoon Data Science Mentor jobs?

States with the most job openings for Afternoon Data Science Mentor jobs include:

Health Data Science/AI Associate

RR

Indianapolis, IN • On-site

$56K - $56K/yr

Full-time

Life, Retirement, PTO

Posted 10 days ago


Job description

POSITION PURPOSE
Working alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical expertise, professional skills, and an understanding of modern health data science.
Projects are selected to align with each extern's strengths, interests, and career goals while providing opportunities to expand knowledge across cloud computing, AI, data engineering, clinical data analysis, and health informatics.
New graduates and early-career professionals are strongly encouraged to apply. Prior professional experience is welcomed but not required. This is a six-month role, with the possibility to extend to a second six-month period.
This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Under the guidance of supervisors and scientific mentors, the extern may:
  • Participate as an active member of multidisciplinary project teams supporting health research initiatives.
  • Assist with the engineering, preparation, transformation, and analysis of large clinical and administrative datasets.
  • Develop and maintain SQL and Python code to support data extraction, integration, quality improvement, and analytics.
  • Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure.
  • Assist in implementing and improving data pipelines, workflows, and automated processes.
  • Support the development, evaluation, and responsible use of AI-enabled tools that improve research and operational efficiency.
  • Work with health data standards and common data models, including concepts such as OMOP and HL7/FHIR.
  • Participate in data validation, quality assurance, and documentation activities to ensure reproducibility and integrity.
  • Prepare technical documentation, process documentation, and project summaries.
  • Present project updates and findings to mentors, supervisors, and project teams.
  • Participate in team meetings, knowledge-sharing activities, and professional development opportunities.
  • Demonstrate appropriate stewardship of sensitive health information while adhering to security, privacy, and compliance requirements.
  • Perform other related duties as assigned.

QUALIFICATIONS
Required Education
Requires at least a Bachelor's degree in one of the following (or a closely related field):
  • Data Science
  • Health or Biomedical Informatics
  • Computer Science
  • Data Engineering
  • Statistics
  • Information Science
  • Applied Mathematics
  • Related quantitative discipline

Required Qualifications
  • Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science.
  • Basic proficiency with SQL, Python, or another programming language.
  • Demonstrated analytical thinking and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with mentors, scientists, engineers, analysts, and project teams.
  • Ability to prepare technical documentation and communicate technical concepts clearly.
  • Intellectual curiosity, initiative, and willingness to learn new technologies.
  • Commitment to protecting confidential and sensitive health information.

PREFERRED QUALIFICATIONS
Preference may be given to candidates with exposure to one or more of the following:
  • Cloud computing platforms
  • Machine learning or artificial intelligence
  • Clinical or healthcare data
  • Data visualization tools
  • Git or source code management
  • Health data standards such as OMOP, HL7, or FHIR

CORE COMPETENCIES
Successful externs demonstrate:
  • Learning Agility
  • Analytical Thinking
  • Collaboration
  • Communication
  • Accountability
  • Curiosity and Innovation
  • Professionalism
  • Adaptability
  • Continuous Improvement

PHYSICAL DEMANDS
The physical demands described here are representative of those an individual can expect while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Ability to sit and/or stand for extended periods.
  • Manual dexterity sufficient to operate a computer, keyboard, and related office equipment.
  • Occasional lifting or carrying of materials weighing up to 20 pounds.

WORK ENVIRONMENT
This position operates in a hybrid work environment, combining remote work with on-site work at Regenstrief Institute facilities. Externs collaborate regularly with supervisors, mentors, researchers, and technical staff using both in-person and virtual collaboration tools.
BENEFITS OF WORKING HERE
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness

Please note sponsorship and/or relocation are not available for this position.
REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.