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Data Science Training Jobs (NOW HIRING)

Essential Job Duties The Data Science Librarian provides expert consultative support, workshop-based training, and course-integrated instruction for students, faculty, and researchers in the areas of ...

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Provides guidance and training as necessary to develop crew.Sets performance standards, reviews ...

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Provides guidance and training as necessary to develop crew. Sets performance standards, reviews ...

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Provides guidance and training as necessary to develop crew.Sets performance standards, reviews ...

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... Career development opportunities, including on-the-job training, tuition reimbursement, and ...

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

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 ...

Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt ... Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ...

The data science team is very much applied - their work directly makes its way into real products ... Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt ...

We help businesses become AI-native through training, hiring, and infrastructure. Since our ... We're seeking an experienced Data Science Coach to work with clients looking to break into or grow ...

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 ...

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus * Data ...

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Data Science Training information

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$24.5K

$104K

$195K

How much do data science training jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science training in the United States is $103,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $123,000.00 per year, depending on experience, location, and employer.

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 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.

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 abilities to employers.

What training do you need to be a data science training?

To become a data science trainer, you typically need a strong background in data science, including skills in programming languages like Python or R, statistical analysis, and machine learning. Relevant certifications, such as Certified Data Scientist or specialized training programs, can enhance credibility, and experience with data tools and platforms is often required. Continuous learning and staying updated with industry trends are also important for effective training.
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What cities are hiring for Data Science Training jobs?

Cities with the most Data Science Training job openings:

What are the most commonly searched types of Data Science Training jobs?

The most popular types of Data Science Training jobs are:

What states have the most Data Science Training jobs?

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

Infographic showing various Data Science Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $103,981 per year, or $50 per hour.

Manager, Data Science

Vangard, Inc.

Philadelphia, PA

Full-time

Posted 17 days ago


Job description

Job Description Summary

This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making in conversational AI Projects. Supports the continuous evolution and strategy of Vanguard's data science capabilities. It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

Core Responsibilities

  • Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making in conversational AI Projects. Creates alternative model approaches to assess complex model design and advance future capabilities.
  • Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.
  • Identifiesand diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processesin order todevelop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guidestest design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Executes operational plans to achieve departmentobjectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.
  • Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs and refines data mining architectures, analytical protocols, and statistical reporting methods toidentifyactionable trends in large and complex datasets.
  • Applies advanced data science principles and emerging technologies to develop models that inform strategic decisions across functions such as marketing, supply chain, and economic forecasting.
  • Conducts research to evaluatecutting-edgeanalytics methodologies, aiming to enhance organizational capabilities andmaintaincompetitive advantage
  • Hires, evaluates, and supervises crew.Provides guidance and training as necessary to develop crew.Sets performance standards, reviews performance, and makes informed compensation decisionsin accordance withall applicable Human Resources policies and procedures.

Qualifications

  • Minimum of five+ years related work experience in Data science roles.
  • Expertise in NLP, Generative and Agentic Solutions.
  • Deep understanding of Transformer Architectures and experience in improving performance of Agents
  • Programming skills to access,transformand prepare large scale data for machine learning modeling.
  • Experienceutilizingstatistical and machine learning methods.
  • Experience in creating explainable ML solutions and attribution methodologies.
  • Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics or related field of study or equivalent combination of training and experience.
  • Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.