As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is ...
As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is ...
Data Scientist II
Fairport, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Fairport, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Brighton, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Brighton, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Palmyra, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Palmyra, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Greece, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Greece, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Spencerport, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Spencerport, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Pittsford, NY · On-site
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Pittsford, NY · On-site
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Irondequoit, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Irondequoit, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
East Rochester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
East Rochester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Rochester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Rochester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Henrietta, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Henrietta, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Honeoye Falls, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Honeoye Falls, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Ontario, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Ontario, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Manchester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Manchester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Victor, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Victor, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Rush, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Rush, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Avon, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Avon, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Rochester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Rochester, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
Webster, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
Webster, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist II
West Henrietta, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Quick apply
Data Scientist II
West Henrietta, NY · Hybrid
$99K - $124K/yr
As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI ...
Data Scientist information
See Rochester, NY salary details
$37K - $51.3K
2% of jobs
$51.3K - $65.6K
3% of jobs
$65.6K - $79.8K
6% of jobs
$79.8K - $94.1K
9% of jobs
$98.7K is the 25th percentile. Wages below this are outliers.
$94.1K - $108.4K
15% of jobs
The median wage is $117.9K / yr.
$108.4K - $122.6K
22% of jobs
$130.5K is the 75th percentile. Wages above this are outliers.
$122.6K - $136.9K
32% of jobs
$136.9K - $151.2K
3% of jobs
$151.2K - $165.4K
4% of jobs
$165.4K - $179.7K
1% of jobs
$179.7K - $194K
2% of jobs
$37K
$121.2K
$194K
How much do data scientist jobs pay per year?
As of Jun 15, 2026, the average yearly pay for data scientist in Rochester, NY is $121,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?
To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.
What Do Data Scientists Do?
Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.
Is a data scientist job still in demand?
Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.
What are Data Scientists?
Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.
What does a data scientist do exactly?
A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and communicate findings to stakeholders.
Is 30 too late for data science?
Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is generally not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.
What is the difference between Data Scientist vs Data Analyst?
| Aspect | Data Scientist |
|---|---|
| Required Credentials | Degree in Computer Science, Statistics, or related field; often requires advanced degrees |
| Work Environment | Research and development, predictive modeling, machine learning projects |
| Employer & Industry Usage | Tech companies, finance, healthcare, consulting firms |
| Common Search & Comparison | Often compared due to overlapping skills in data analysis and modeling |
Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.
What jobs does data science do?
Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.
What are some typical projects Data Scientists work on, and how do they collaborate with other teams?
Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about 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 Data Scientist jobs in Rochester, NY? For Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Rochester, NY look for? The top searched job categories for Data Scientist jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Scientist jobs? Cities near Rochester, NY with the most Data Scientist job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Recruiting for this role ends on June 30th 2026
Work you'll do/Responsibilities
- Work with stakeholders to identify business problems and formulate them as data science challenges.
- Collect, clean, and explore large datasets to uncover trends and patterns.
- Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
- Validate and deploy models into production environments.
- Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
- Stay up to date with the latest trends and technologies in data science and machine learning.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 5+ Years of Experience in a Data Science or Machine Learning role.
- 5+ Years of Experience Proficiency in programming languages such as Python or R.
- 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
- 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Master's or Ph.D. in a relevant field.
- Experience with big data technologies like Spark or Hadoop.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with data visualization tools like Tableau or Power BI.
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Recruiting for this role ends on June 30th 2026
Work you'll do/Responsibilities
- Work with stakeholders to identify business problems and formulate them as data science challenges.
- Collect, clean, and explore large datasets to uncover trends and patterns.
- Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
- Validate and deploy models into production environments.
- Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
- Stay up to date with the latest trends and technologies in data science and machine learning.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 5+ Years of Experience in a Data Science or Machine Learning role.
- 5+ Years of Experience Proficiency in programming languages such as Python or R.
- 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
- 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Master's or Ph.D. in a relevant field.
- Experience with big data technologies like Spark or Hadoop.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with data visualization tools like Tableau or Power BI.
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.