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Data Science Jobs in Rochester, NY (NOW HIRING)

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has ...

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has ...

Mindex

Data Platform Engineer - Remote

Rochester, NY · Remote

$100K - $150K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience Preferred Qualifications * Experience implementing dimensional, canonical, or enterprise data ...

New

Novocure

Data Architect

Rochester, NY · On-site

$63.25 - $81.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ years of experience in data architecture, enterprise data management, or data integration roles

Mindex

Data Platform Engineer - Remote

Rochester, NY · Remote

$100K - $150K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience Preferred Qualifications * Experience implementing dimensional, canonical, or enterprise data ...

Mindex

Data Platform Engineer - Remote

Rochester, NY · On-site +1

$100K - $150K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience Preferred Qualifications * Experience implementing dimensional, canonical, or enterprise data ...

Deloitte

AI Data Engineer - Senior Consultant

Rochester, NY · Hybrid

$103K - $141K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models ...

Varsity Tutors

ACT Science Tutor

Rochester, NY · Remote

$40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Varsity Tutors

Earth Science Tutor

Rochester, NY · Remote

$40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

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All JobsData Science JobsData Science Jobs in Rochester, NY

Data Science information

See Rochester, NY salary details

$37K

$121.2K

$194K

How much do data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data science 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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Rochester, NY? The most popular types of Data Science jobs in Rochester, NY are:
What are popular job titles related to Data Science jobs in Rochester, NY? For Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Rochester, NY look for? The top searched job categories for Data Science jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science jobs? Cities near Rochester, NY with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Rochester, NY as of June 2026, with employment types broken down into 80% Full Time, 8% Part Time, 4% Temporary, and 8% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $121,157 per year, or $58.2 per hour.
Data Engineer - Remote

Data Engineer - Remote

Mindex

Rochester, NY • Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Job description

Mindex is looking for a Data Engineer with strong SQL and data analysis instincts to join a growing data platform team. In this role, you\'ll build and maintain data pipelines, models, and transformations in Snowflake using DBT and turn raw, messy source data into reliable, analysis-ready datasets.

The single most important skill for this role is data analysis ability: the capacity to dig into unfamiliar source systems, understand what the data means, surface data quality issues, and make well-reasoned decisions about how to model and use it. Strong communication skills are equally important. You\'ll need to document your findings and decisions clearly for both technical and non-technical audiences.

Compensation

$90,000 - $140,000

What You\'ll Accomplish
  • Build and maintain DBT models (Core), including models, tests, macros, and lineage documentation
  • Design and optimize Snowflake objects, dynamic tables, views, and schemas, for performance and clarity
  • Develop and support data ingestion pipelines using tools such as Informatica, Fivetran, or Openflow
  • Profile and analyze source data from complex, multi-domain systems (HRIS, payroll, client platforms) to surface quality issues and inform modeling decisions
  • Write advanced SQL to investigate data, validate transformations, and answer ad hoc business questions
  • Collaborate with data architects to implement canonical data models and ensure consistency across domains
  • Document data quality findings, transformation logic, and modeling decisions in a clear and defensible way
  • 3+ years of hands-on experience with advanced SQL
  • 2+ years of experience with DBT Core (models, tests, macros, sources, lineage)
  • 2+ years of experience with Snowflake (dynamic tables, views, performance tuning, schema design)
  • Experience with data ingestion/replication tooling such as Informatica, Fivetran, or Openflow
  • Demonstrated ability to profile and analyze source data from complex or poorly documented systems
  • Proficiency in Python for data processing and pipeline support
  • BS degree in Computer Science, Data Science, Engineering, or equivalent experience
Why Join Mindex?

For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.

  • Fully Remote Work Environment
  • Flexible Time Off
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities
Additional Information

Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.

Physical Requirements/Conditions:

Prolonged periods sitting at a desk and working on a computer
No heavy lifting is expected. Exertion of up to 10 lbs.

Apply