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Masters Data Science Jobs in New York (NOW HIRING)

Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Data Science Using R - SimpliLearnSimpliLearn Required ...

QualificationsBachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertificationsAlteryx Designer Core Certification - Alteryx AcademyAlteryx ...

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Masters or Ph.D. Degree in a quantitative field * Experience with predictive modeling, machine ...

Overview The VP, Marketing Data Science is a highly experienced and senior role, part of the larger ... Education Masters or Bachelor's degree in Business Analytics, Finance, Statistics (advanced degree ...

The VP, Marketing Data Science is a highly experienced and senior role, and part of the larger ... Bachelor's/University degree (Masters or Bachelor's degree in Business Analytics, Finance ...

Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand ...

Data Science Sr Associate

Jersey City, NJ · On-site

$64K - $65K/yr

Masters in a related field, or at least 3 years of relevant industry experience in data science roles, with a focus on marketing analytics. * Proficiency in Tableau, Alteryx, SQL, and Python.

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Showing results 1-20

Masters Data Science information

What is the difference between Masters Data Science vs Data Analyst?

CriteriaMasters Data ScienceData Analyst
Required CredentialsMaster's degree in Data Science, Computer Science, or related fieldBachelor's degree in Statistics, Mathematics, or related field
Work EnvironmentResearch-focused, developing models, algorithms, and advanced analyticsData cleaning, reporting, and visualization for business insights
Employer & Industry UsageTech companies, research institutions, large enterprisesBusiness, finance, marketing, healthcare sectors
Common Search & Comparison IntentUnderstanding advanced data roles, qualifications, and skillsEntry-level data roles, daily tasks, and career path

Masters Data Science professionals typically have advanced degrees and focus on developing complex models and algorithms, often in research or technical environments. Data Analysts usually hold bachelor's degrees and concentrate on interpreting data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ in scope, skills, and responsibilities.

Is a master's in data science worth it?

A master's in data science can enhance job prospects for data scientists by providing advanced skills in programming, statistics, and machine learning, which are highly valued in the field. It often leads to higher salaries and more senior roles, but practical experience and certifications like Python or R are also important for success.

What can I do with a master's in data science?

A master's in data science prepares individuals for roles such as data scientist, data analyst, machine learning engineer, or data engineer. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

Where can I work with a master's in data science?

A master's in data science qualifies individuals for roles such as data scientist, data analyst, machine learning engineer, and data engineer across various industries including technology, finance, healthcare, and consulting. These positions often require skills in programming, statistical analysis, and data visualization, and are available in both corporate and research environments.
Infographic showing various Masters Data Science job openings in New York as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution.

Lead Data Scientist 4C

New York, NY • On-site

Genpact
IT Services • 10K+ employees

Full-time

Posted 18 days ago


Genpact rating

6.3

Company rating: 6.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz


Job description

Lead Data Scientist
Ready to turn bold ideas into real-world impact?
At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
The Artificial Intelligence Lead Data Scientist is responsible for leading the development and implementation of AI solutions within the organization. This role involves using advanced data analytics and machine learning techniques to drive innovation and business intelligence./n Roles and Responsibilities: 1. Lead the design, development, and deployment of AI models and algorithms; 2. Collaborate with cross-functional teams to define project goals and requirements; 3. Analyze complex data sets to identify trends and patterns using statistical and machine learning approaches; 4. Implement and optimize AI solutions to improve data accuracy, efficiency, and predictive capabilities; 5. Provide technical guidance and mentorship to junior data scientists; 6. Stay current with the latest trends and advancements in AI and data science to ensure best practices are applied.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Data Science Using R - SimpliLearnSimpliLearn
Required Skills
Agile Methodology, AI/ML Ops, AI Agent Governance, Artificial Intelligence (AI), Databricks AI/BI Genie, Medical Claims
Language
English (Required)
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
Advanced Analytics / AI / ML
Remote Type -
Hybrid
Work Shift -
Day Job (United States of America)
The approximate annual base compensation range for this position is:
60,000 to 75,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
Why join Genpact?
Lead AI-powered transformation - Drive innovation and solve real-world business challenges that matter
Make an impact - Help global enterprises solve business challenges that matter
Accelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let's build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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About Genpact

Sourced by ZipRecruiter

Genpact is a global Professional Services firm delivering the outcomes that transform our Clients' Businesses and shape their future. We're guided by our real world experience Redesigning and Running thousands of processes for hundreds of Global Companies. Our Clients including many in the Global Fortune 500 partner with us for our unique ability to combine deep industry and functional expertise, Leading talent, and Proven Methodologies to drive Collaborative Innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our Clients and their Customers, running digitally enabled operations and applying our Data Tech AI services to design, Build, and Transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people.

Industry

It services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1997

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