1

Senior Data Scientist Machine Learning Jobs in Rochester, NY

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

... data science algorithms and machine learning techniques to solve complex business problems - Building data pipelines and confirming data quality for informed decision-making - Conducting exploratory ...

Senior Data Engineer

Rochester, NY · Remote

$104K - $142K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Sr. Solutions Architect AI

Rochester, NY · 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 ...

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 ...

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 · 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:

next page

Showing results 1-20

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 Jul 8, 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.

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 are the key skills and qualifications needed to thrive as a Senior Data Scientist in Machine Learning, and why are they important?

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.

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 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 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 are popular job titles related to Senior Data Scientist Machine Learning jobs in Rochester, NY? For Senior Data Scientist Machine Learning jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist Machine Learning jobs in Rochester, NY look for? The top searched job categories for Senior 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 July 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.

Machine Learning Engineer

Bespoke Labs

Geneseo, NY • On-site

Full-time

Posted 21 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination