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Data Scientist Machine Learning Jobs in New York

Data Scientist (Machine Learning)

New York, NY ยท On-site

$180K - $230K/yr

Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture Why this Role is Different Most Data Science roles currently on the market are focused on optimizing ad ...

Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Integrate the latest data science innovations into product solutions, enhancing data, analytical ...

Design and build data solutions using state-of-the-art machine learning and informatics methods ... Contribute to data science best practices and mentor team members to elevate the technical ...

Lead Data Scientist

Woodcliff Lake, NJ ยท On-site

$181K - $201K/yr

Lead Data Scientist Posting Start Date: 7/20/26 Job Location (Long): Woodcliff Lake, New Jersey ... machine learning methods, and recommend improvements; work with large data sets from inside and ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... We also want to see a passion for machine-learning and research. Your goal will be to help our ...

Data Scientist

Brooklyn, NY ยท On-site

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... We also want to see a passion for machine-learning and research. Your goal will be to help our ...

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Showing results 1-20

Data Scientist Machine Learning information

See New York salary details

$41K

$134.3K

$215K

How much do data scientist machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist machine learning in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in New York? The most popular types of Data Scientist Machine Learning jobs in New York are:
What are popular job titles related to Data Scientist Machine Learning jobs in New York? For Data Scientist Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in New York look for? The top searched job categories for Data Scientist Machine Learning jobs in New York are:
Infographic showing various Data Scientist Machine Learning 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 $134,280 per year, or $64.6 per hour.
Senior Data Scientist (Machine Learning & Generative AI)

Senior Data Scientist (Machine Learning & Generative AI)

MSD

Rahway, NJ โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Job Description

Job Summary:

As a Senior Data Scientist, you will leverage your expertise in machine learning model development, generative AI, and software engineering to rapidly prototype and deploy advanced analytics products for our manufacturing division. You will collaborate with cross-functional teams, including IT, engineering, and operations, to design and implement robust advanced analytics solutions at scale within production systems. You will also engage in ad-hoc consulting roles to support various projects across the organization. Our data science team contributes to different project phases, from ideation and business case development, through data discovery and preparation, to model development, prototyping, and facilitating adoption.

Primary Job Responsibilities:

  • Independently design and develop innovative quantitative methodologies, leveraging different methods and approaches in machine learning, deep learning, and generative AI, to drive data-driven decision-making and influence key initiatives within the company.

  • Apply data science, machine learning, and deep learning techniques to create tools for process monitoring, process optimization, and predictive analytics.

  • Develop end-to-end digital solutions, including automation of data workflows and integration into existing systems.

  • Engage with customers and stakeholders to understand their needs, requirements, expectations, and potential opportunities, ensuring alignment with business objectives.

  • Build and disseminate in-depth domain knowledge of emerging trends in one or more sub-specialty areas of data analytics, fostering collaboration with cross-functional stakeholders.

  • Design, lead, and document the development of analytics applications, platforms, and processes to unlock value through scientific insights.

  • Stay updated on current best practices, methodologies, and technologies in AI, machine learning, and data science landscape, including compliance and ethical considerations.

Required Skills:

  • Extensive knowledge of both traditional supervised and unsupervised machine learning algorithms, as well as familiarity with advanced deep learning architectures.

  • Proven hands-on experience with Python, including practical skills with libraries such as scikit-learn, Keras, TensorFlow, or PyTorch.

  • Familiarity with feature engineering and exploratory data analysis for both structured and unstructured data sets.

  • Knowledge of experiment tracking methodologies and tools to monitor model performance and maintain reproducibility.

  • Exceptional communication skills to effectively convey complex information to both technical and non-technical stakeholders.

  • A strong software engineering mindset, emphasizing the importance of producing high-quality code, documentation, and pipelines.

  • A data-centric mindset, focusing on how data can be leveraged to create actionable insights and drive business value.

  • Experience working within Agile frameworks and methodologies.

Preferred Qualifications:

  • Understanding of generative AI including large language models and vision language models, RAG, pre-training, and/or fine-tuning for specific applications.

  • Experience with agents, agentic AI platforms (CrewAI, LangGraph, LangChain, AutoGen, Semantic Kernel, Bedrock, Strands, etc), agent tooling and protocols (MCP, A2A), and/or AI coding tools (Claude Code, Cursor, Codex, Open Claw)

  • Familiarity with graph networks, semantic layers, and causal inference.

  • Familiarity with deep learning applications or inference, computer vision, autoencoders, etc.

  • Familiarity with modern MLOps tools and best practices for lifecycle management including CI/CD pipelines, containerization technologies such as Docker, and deploying machine learning models in cloud environments such as AWS, Databricks, or similar platforms.

Education:

  • Bachelor's degree required

  • Preferred Ph.D. in chemical engineering, applied mathematics, or other technical fields with expertise in data science and machine learning projects or master's degree in data science, computer science, applied statistics/mathematics, chemical engineering, or a related field with 2+ years of relevant experience in data science and machine learning projects.

Required Skills:

Agile Methodology, Agile Methodology, Applied Mathematics, Business Analytics, Business Case Development, Change Catalyst, Chemical Engineering, Cheminformatics, Compliance Analytics, Containerization, Cross-Functional Collaboration, Data Mining, Data Science, Detail-Oriented, Emerging Trends, Generative AI, Information Architecture Design, Information Systems Engineering, Machine Learning (ML), Modeling Simulations, Pharmacogenetics, Predictive Modeling, Prototyping, Software Tool Development, Stakeholder Engagement {+ 2 more}

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

The salary range for this role is

$129,000.00 - $203,100.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

07/21/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.