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Data Science Training Jobs in New York (NOW HIRING)

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 ...

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 ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

... experience level, skill set, training, licenses and certifications. In addition to base ... Deep expertise in applied data science and ML, including statistical modelling, predictive ...

Data Science Expert Type: Contract Compensation: $120-$170/hour Location: Remote Role ... Prior experience with AI training , evaluation, or human-data projects. Application Process (Takes ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

... experience level, skill set, training, licenses and certifications. In addition to base ... Deep expertise in applied data science and ML, including statistical modelling, predictive ...

... experience level, skill set, training, licenses and certifications. In addition to base ... Deep expertise in applied data science and ML, including statistical modelling, predictive ...

Data Science & Quantitative Analysis Expert Type: Contract Compensation: $60-$90/hour Location ... Experience in AI training, model evaluation, or benchmark/task authoring. * High attention to ...

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Data Science Training information

See New York salary details

$26.8K

$113.7K

$213.2K

How much do data science training jobs pay per year?

As of Aug 27, 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.

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.

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 cities in New York are hiring for Data Science Training jobs?

Cities in New York with the most Data Science Training job openings:

Infographic showing various Data Science Training job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% 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)

New York, NY • On-site

SUNY Downstate Health Sciences University
Health Care and Social Assistance • 1 - 5K employees

Full-time

Re-posted 15 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.

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.