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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

See New York salary details

$26.8K

$113.7K

$213.2K

How much do data science training jobs pay per year?

As of Jul 31, 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 a Data Science Training job?

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What are the key skills and qualifications needed to thrive in the Data Science Training position, 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.

Can I get a data scientist job with no experience?

Entering a data scientist role typically requires relevant skills in programming, statistics, and data analysis, often gained through coursework, projects, or certifications. While some entry-level positions may be available to candidates with minimal experience, most employers prefer candidates with practical experience or a strong portfolio demonstrating their abilities.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

Can I get a job after learning data science?

Data science is a growing field with many job opportunities for those who acquire relevant skills such as programming, statistics, and data analysis tools like Python or R. Completing a data science training program can improve your chances of securing roles such as data analyst or data scientist, but employment also depends on experience, portfolio, and industry demand.
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:
Infographic showing various Data Science Training job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,679 per year, or $54.7 per hour.

Executive Director, Data Science for Healthcare Operations

CVS Health

New York, NY • On-site

$175K - $334K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,322 frontline employees who took The Breakroom Quiz

87th of 109 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary:

We are seeking an Executive Director, PBM Analytics Product Management to lead and scale a high-impactanalyticsproduct portfolio. The Executive Director will oversee teams of data scientists working in product pods side-by-side with data engineering, product management, and design. The mission of these teams is to monitor the performance of operational systems, identify gaps and detect anomalies, and enhance them using advanced analytics and ML/AI. This leader will operate at the intersection of analytics, business strategy, and product management, partnering closely with senior executives to identify, prioritize, and deliver the highest-value opportunities.

This role requires a hands-on, execution-oriented leader who can step in on day one, quickly assess opportunities, and drive measurable business impact. The ideal candidate is a data science leader who has deployed analytical products in the healthcare space.

Key Responsibilities:

Executive Leadership & Stakeholder Management

  • Serve as a trusted advisor and thought partner to VP and C-suite leaders, driving alignment on strategy, priorities, and value realization.
  • Demonstrate exceptional stakeholder management skills, effectively influencing across functions and levels to drive outcomes.
  • Navigate complex organizational dynamics with strong executive presence, credibility, and impact.
  • Orchestrate cross-functional delivery across business, product, engineering, data science, and analytics teams.

Product Strategy & Value Delivery

  • Own the end-to-end analytics strategy and solution roadmap for a handful of projects.
  • Translate business priorities into actionable analytical strategies focused on measurable outcomes, cost optimization, and enterprise value creation.
  • Identify and prioritize high-impact opportunities by analyzingbusiness outcomesand working backwards to determine key levers for improvement.
  • Lead hypothesis-driven problem solving and rapid iteration to deliver scalable solutions.
  • Ensure products are customer- and user-centric, leveraging data, insights, and feedback to continuously refine priorities.

Team Leadership & Development

  • Lead, coach, and develop a high-performing team of data scientists and analysts.
  • Build a strong data science culture grounded in ownership, collaboration, and continuous learning.
  • Mentor talent across the organization to elevate analytics capabilities.

Required Qualifications:

  • 15+ years of experience in consulting, analytics, data science, or related fields, with increasing leadership responsibility.
  • Proven ability to operate effectively at the executive level, with strong executive presence and the ability to influence senior leaders.
  • Demonstrated expertise in stakeholder management, including aligning cross-functional teams and driving enterprise-wide initiatives.
  • Familiarity with modern styles of product management, including building and delivering software/data products in complex environments.
  • Exceptional problem-solving skills with a structured, hypothesis-driven approach.
  • Experience driving strategy and transformation initiatives, including identifying cost optimization opportunities and translating them into actionable product strategies.
  • Ability to quickly assess business challenges and begin delivering impact immediately with minimal ramp-up time.
  • Track record of orchestrating delivery across complex, matrixed organizations.
  • Strong communication skills, with the ability to clearly articulate strategy, trade-offs, and outcomes.

Preferred Qualifications:

  • Background in management consulting (highly preferred), data science training, and operating in teams that deliver analytical solutions through software products for business users.
  • Experience working in(or with)a large technology company (e.g., Big Tech), with exposure to scaledproduct, platform, or data ecosystems.
  • Experience in healthcare, PBM, orsimilarlycomplex, regulated industries
  • Strong business acumen with experience connecting product investments to measurable financial outcomes, including cost reduction.
  • Demonstrated cultural leadership and ability to model desired behaviors, including how they "show up" to drive engagement and alignment.

Education:

  • Bachelor's degreerequired.
  • Degree in computer science, statistics, mathematics or related fieldspreferred
  • MBA or advanced degree preferred

Pay Range

The typical pay range for this role is:

$175,100.00 - $334,750.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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