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Data Science Training Jobs in New York (NOW HIRING)

CookUnity

Director, Data Science/ML

New York, NY

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 ...

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

Deep proficiency in Python and the data science ecosystem, with hands-on experience training and deploying deep learning models in PyTorch, including modern deep learning - architectures (especially ...

Inmar

Director, Data Science (MarTech)

New York, NY · On-site

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... training that provides the required knowledge, skills, and abilities needed to complete the job ...

American Express

Mgr-Data Science

New York, NY · On-site

This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Career development and training opportunities For a full list of Team Amex benefits, visit our ...

American Express

Directors, Data Science

Manhattan, NY · On-site

$169K - $215K/yr

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit ... training other users to drive adoption. Qualifications Position requires a Bachelor's degree in ...

S&P Global

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... experience level, skill set, training, licenses and certifications. In addition to base ...

S&P Global

Vice President, Data Science

New York, NY

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... experience level, skill set, training, licenses and certifications. In addition to base ...

Spgi

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... experience level, skill set, training, licenses and certifications. In addition to base ...

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Data Science Training information

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$26.8K

$113.7K

$213.2K

How much do data science training jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science training in New York is $113,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,622.00 and $134,472.00 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 New York? The most popular types of Data Science Training jobs in New York are:
What are popular job titles related to Data Science Training jobs in New York? For Data Science Training jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in New York look for? The top searched job categories for Data Science Training jobs in New York are:
What cities in New York are hiring for Data Science Training jobs? Cities in New York with the most Data Science Training job openings:
Data Science Training jobs near you
Infographic showing various Data Science Training job openings in New York 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 $113,679 per year, or $54.7 per hour.

Assistant Professor (12MO), Data Science & Analytics (Tenure-Track)

SUNY Downstate Health Sciences University

Brooklyn, NY • On-site

$110K - $127K/yr

Full-time

Posted 27 days ago

Job description


The Department of Epidemiology & Biostatistics in the School of Public Health at SUNY Downstate Health Sciences University is seeking a full-time Assistant Professor (12MO), Tenure-Track. The successful candidate will:
  • Demonstrate expertise in data science, analytics, and big data computational ecosystems.
  • Operate effectively within data-intensive computing environments and possess a deep working knowledge of both Python and R for data analytics and big data interfacing.
  • Demonstrate a strong background in applied machine learning, statistical modeling, and data mining.
  • Teach both online and on-campus sections of core data science training courses, as well as developing specialized emphasis areas or advanced courses
  • that align with the School's strategic focus on population health
  • and community-engaged research.
  • Contribute to the School's commitment to training the next generation of public
  • health leaders through excellence in research, service, and interdisciplinary teaching focused on improving health equity within urban and immigrant populations.

Qualifications
Required Qualifications
  • Terminal Degree (PhD, MD, ScD).
  • Ability to operate effectively within data-intensive computing environments and ecosystems, with analytic expertise in omics data and bioinformatics, and possess a deep working knowledge of machine learning, statistical modeling, and data mining.
  • Successful attainment of extramural funding and demonstrated research expertise evidenced by a substantial publication record in high quality journals.

Apply