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Data Science Training Jobs in Philadelphia, PA (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 are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive ... Learning and development opportunities through structured training and career pathways Benefits may ...

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

Project Manager, AI and Data Science

Pipersville, PA ยท Hybrid

$52.75 - $71.25/hr

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

S. or higher in computer science, mathematics, operations research, statistics or related ... training LLM (including parameter efficient fine-tuning), and evaluation benchmarks * Proven ...

Lead Data Scientist

Philadelphia, PA ยท On-site

$150K - $175K/yr

S. or higher in computer science, mathematics, operations research, statistics or related ... training LLM (including parameter efficient fine-tuning), and evaluation benchmarks * Proven ...

S. or higher in computer science, mathematics, operations research, statistics or related ... training LLM (including parameter efficient fine-tuning), and evaluation benchmarks * Proven ...

Senior Data Science Engineer

Philadelphia, PA ยท On-site

$116K - $210K/yr

Build scalable data, training, and inference pipelines using distributed processing and cloud ... scientists. Education and Work Experience : * Bachelor's Degree plus 5 years of related work ...

Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an equivalent combination of training and ...

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Data Science Training information

See Philadelphia, PA salary details

$24.7K

$104.7K

$196.3K

How much do data science training jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science training in Philadelphia, PA is $104,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,462.00 and $123,800.00 per year, depending on experience, location, and employer.

How do I get a job in data science training with no experience?

To get a job in data science training with no experience, focus on building foundational knowledge through online courses, certifications, and practical projects. Developing strong communication skills and familiarity with tools like Python, R, or SQL can also improve your chances, and gaining experience through internships or volunteering can help demonstrate your expertise to employers.

What is data science training?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What training do you need to be a data scientist?

To become a data scientist, you typically need a strong foundation in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as computer science, mathematics, or engineering. Many data scientists also pursue advanced degrees like a master's or Ph.D., and proficiency in tools such as Python, R, SQL, and machine learning frameworks is essential. Additionally, practical experience through projects, internships, or certifications can enhance job prospects.

What are the typical responsibilities of a professional in data science training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

What are the key skills and qualifications needed to thrive in data science training, and why are they important?

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

What are the most commonly searched types of Data Science Training jobs in Philadelphia, PA? The most popular types of Data Science Training jobs in Philadelphia, PA are:
What are popular job titles related to Data Science Training jobs in Philadelphia, PA? For Data Science Training jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in Philadelphia, PA look for? The top searched job categories for Data Science Training jobs in Philadelphia, PA are:
Infographic showing various Data Science Training job openings in Philadelphia, PA as of August 2026, with employment types broken down into 69% Full Time, 10% Part Time, 3% Temporary, and 18% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $104,657 per year, or $50.3 per hour.

Data Science Intern

Athenago

Wilmington, DE โ€ข On-site

Part-time

Re-posted 29 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.