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Afternoon Data Science Mentor Jobs in Delaware (NOW HIRING)

Athena LLC

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 ...

Athenago

Data Science Intern

Wilmington, DE

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 ...

Dlapiper

Sr Data Analyst

Wilmington, DE · Hybrid

$89.99K - $143.09K/yr

This individual will lead large-scale analytical initiatives, mentor junior analysts, and ... Bachelor's Degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or ...

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Afternoon Data Science Mentor information

What are the key skills and qualifications needed to thrive as an Afternoon Data Science Mentor, and why are they important?

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 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 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 are the most commonly searched types of Data Science Mentor jobs in Delaware? The most popular types of Data Science Mentor jobs in Delaware are:
What are popular job titles related to Afternoon Data Science Mentor jobs in Delaware? For Afternoon Data Science Mentor jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Science Mentor jobs in Delaware look for? The top searched job categories for Afternoon Data Science Mentor jobs in Delaware are:
What cities in Delaware are hiring for Afternoon Data Science Mentor jobs? Cities in Delaware with the most Afternoon Data Science Mentor job openings:
Afternoon Data Science Mentor jobs near you
Infographic showing various Afternoon Data Science Mentor job openings in Delaware as of May 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 77% Physical, and 23% Remote job distribution.

Data Science Intern

Athena LLC

On-site, Remote

Part-time

Posted 20 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.

Apply