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Full Time Data Science Manager Jobs in New York (NOW HIRING)

They are seeking a Data Scientist - Manager to lead a team in developing generative AI solutions ... Required : • Minimum five years of recent experience in data science or a related machine ...

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Senior Data Scientist

New York, NY · On-site

$114K - $153K/yr

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities: Your are an ...

The company is seeking a Data Scientist- Manager to lead a team in developing generative AI ... Required : • Minimum five years of recent experience in data science or a related machine ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team ... Proven ability to manage senior client relationships and communicate complex technical concepts to ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are ... Management, Information Technology (IT) Support, IT Project Lifecycle, Machine Learning (ML ...

Associate, Data Science

New York, NY · On-site

$64K - $65K/yr

This person will apply sophisticated data science, modeling, and other advanced analytics ... Experience working with and/or managing teams in product development * Consider design principles ...

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team ... Proven ability to manage senior client relationships and communicate complex technical concepts to ...

As the Head of Data Science, you will oversee and support advanced analytics projects that impact ... Strong leadership skills and successful outcomes as a people manager. * Excellent SQL, Python, and ...

Associate, Data Science

New York, NY · On-site

$64K - $65K/yr

This person will apply sophisticated data science, modeling, and other advanced analytics ... Experience working with and/or managing teams in product development * Consider design principles ...

UM Job Function: Data and Analytics Job Subfunction: Data Science and AI TheData ... Excellent project management skills with an ability to set and achieve goals, meet deadlines and ...

... data-driven insights. * Demonstrated ability to manage multiple priorities in a fast-paced, dynamic ... Master's Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science ...

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

This role owns the modeling strategy, data science roadmap, and decisionsupport frameworks that guide enterprise decisionmaking across Commercial, Operations, and Consumer functions. The Manager ...

Oversee credit risk, fraud risk, and line management models which include evaluating conceptual soundness, data quality, performance validation, and on-going monitoring * Document detailed model ...

Showing results 41-60

Full Time Data Science Manager information

What is the difference between Full Time Data Science Manager vs Data Scientist?

AspectFull Time Data Science ManagerData Scientist
CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often prefers leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareUsed across industries for data analysis, modeling, and insights

The Full Time Data Science Manager oversees data teams and strategic projects, requiring leadership skills, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the manager also emphasizes team management and project coordination.

What are the most commonly searched types of Data Science Manager jobs in New York?

The most popular types of Data Science Manager jobs in New York are:

What cities in New York are hiring for Full Time Data Science Manager jobs?

Cities in New York with the most Full Time Data Science Manager job openings:

Infographic showing various Full Time Data Science Manager job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, 2% Hybrid, and 13% Remote job distribution.

Data Scientist- Manager

KPMG US

Montvale, NJ • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services, recognized for its supportive work culture and commitment to individual development. They are seeking a Data Scientist - Manager to lead a team in developing generative AI solutions, guiding the data science lifecycle, and collaborating with various stakeholders to deliver high-quality technical solutions.
Responsibilities:
• Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists
• Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization
• Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
• Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
• Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
• Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality
• Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments
• PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required
• Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel
• Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search
• Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps
• Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.