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Senior Data Scientist Jobs in Rochester, NY (NOW HIRING)

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ...

New

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 multiplier" through technical guidance and design reviews. * Market Leadership: Represent Megazone Cloud at ...

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

... of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior ...

Project - Data Engineer II

Rochester, NY · On-site

$113K - $135K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ...

Ontario County is currently seeking qualified applicants for a full-time Senior Network Analyst ... Computer Science, Computer Technology, Data Processing, Management Information Systems, or a ...

Showing results 21-40

Senior Data Scientist information

See Rochester, NY salary details

$40.9K

$140.6K

$198.3K

How much do senior data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior data scientist 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 are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R can influence compensation levels.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Rochester, NY? The most popular types of Data Scientist jobs in Rochester, NY are:
What are popular job titles related to Senior Data Scientist jobs in Rochester, NY? For Senior Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Rochester, NY look for? The top searched job categories for Senior Data Scientist jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Data Scientist jobs? Cities near Rochester, NY with the most Senior Data Scientist job openings:
Infographic showing various Senior Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,561 per year, or $67.6 per hour.

Sr. Solutions Architect AI

MegazoneCloud US

Rochester, NY • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
MegazoneCloud US is seeking a Director of AI & Databricks Solutions to lead their AI practice and serve as a technical authority for clients. The role focuses on strategy, design, and the ethical governance of AI, while leading technical discovery and guiding teams in executing a clear vision for AI solutions.
Responsibilities:
• Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
• Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
• Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
• Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
• Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.
• Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.
• Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
Qualifications:
Required:
• 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
• Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.
• 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.
• Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
• Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
• Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s or PhD preferred).
• A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.
Preferred:
• Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
• Experience in a Professional Services or consulting environment.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.