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Senior Data Scientist Machine Learning Jobs in Rochester, NY

Sr. Solutions Architect AI

Rochester, NY ยท On-site

$170K - $195K/yr

Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ... Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML ...

NGA AI Engineer Manager

Rochester, NY ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior Associate, Data Architect

Rochester, NY ยท On-site

$84K - $156K/yr

Senior Associate, Data Architect Job Code: 43047 Job Location: Multiple (Rochester, NY, Melbourne ... Science or related field or have completed their Master's degree within the last 12 months ...

New

CTIO AI Engineering Manager

Rochester, NY ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Python Tutor

Rochester, NY ยท Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Senior Scientist

Rochester, NY ยท On-site

$85 - $120/hr

The senior analytical chemist will utilize strong technical expertise and data driven conclusions ... S. in material science, polymer physics, or related discipline is required, Ph.D. is preferred.

New

Showing results 41-60

Senior Data Scientist Machine Learning information

See Rochester, NY salary details

$40.9K

$140.6K

$198.3K

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

As of Aug 20, 2026, the average yearly pay for senior data scientist machine learning in Rochester, NY is $140,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $164,300.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Rochester, NY?

The most popular types of Data Scientist Machine Learning jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Senior Data Scientist Machine Learning jobs?

Cities near Rochester, NY with the most Senior Data Scientist Machine Learning job openings:

Infographic showing various Senior Data Scientist Machine Learning job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $140,561 per year, or $67.6 per hour.

Global Quantitative Strategies | Post Doctorate | Quantitative Researcher

Citadel LLC

Rochester, NY โ€ข On-site

$200 - $300/hr

Other

Medical, Life, Retirement

Posted 15 days ago


Job description

About Global Quantitative Strategies (GQS)

GQS is the quantitative investment business of Citadel. Founded in 2012, GQS has rapidly grown to become one of Citadelโ€™s core investment strategies and one of the top quantitative investment teams in the world. Agile teams of researchers, engineers, and traders develop robust systems that allow us to operate performant at scale and apply advanced statistical and quantitative modeling techniques to identify and act on investment opportunities.

Quantitative Researchers (QRs)

Quantitative Researchers (QRs) specialize in a variety of areas, including but not limited to: using data analysis and machine learning skills to build predictive models, driving construction of a complex multiโ€‘asset portfolio by utilizing large scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS.

Required Skills and Qualifications
  • Currently a postdoctoral researcher in physics, computer science, machine learning, mathematics, statistics, engineering, or a related field
  • Strong mathematical and statistical modeling skills
  • Proficiency in coding (C++ or Python)
  • Interest in conducting innovative and impactful research focused on solving realโ€‘world problems
  • Relentless focus on continuous learning and making an impact; ability to question the status quo
  • Passion for financial markets and driven to analyze and model drivers of price formation and risk

In accordance with applicable law, the base salary range for this role is $200,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and taxโ€‘free savings plans, and access to other healthcare programmes.

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