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Data Science Degree Jobs in Rochester, NY (NOW HIRING)

Required : โ€ข Associate's Degree in Data Science, Engineering, Mathematics, or related technical field (minimum required) โ€ข 1-3 years experience in data management/analysis. โ€ข Strong data ...

Data Architect - Remote

Rochester, NY ยท Remote

$120K - $173K/yr

Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more ...

Data Architect - Remote

Rochester, NY ยท Remote

$120K - $173K/yr

Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more ...

Data Engineer - Remote

Rochester, NY ยท 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 ...

Data Engineer - Remote

Rochester, NY ยท On-site +1

$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 ...

Data Engineer - Remote

Rochester, NY ยท 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 ...

Data Engineer - Remote

Rochester, NY ยท 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 ...

Data Analyst 1

West Henrietta, NY ยท On-site

$28K/yr

Bachelor's degree in a related field is preferred, including Data Analytics, Data Science, Computer Science, Mathematics, or Information Technology. * Relevant experience with data collection or data ...

Bachelor's degree in Finance, Accounting, or related field, with an emphasis in quantitative methods, statistical modeling, and data science. * 3+ years of experience in financial analysis, business ...

Data Architect

Rochester, NY

$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

Business Data Analyst

Rochester, NY ยท On-site

$27.90 - $29.80/hr

Perform other duties as assigned. _____ What We're Looking For Required Qualifications Bachelor's degree in Applied Mathematics, Statistics, Data Science, or related field . Minimum three (3) years ...

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Data Science Degree information

See Rochester, NY salary details

$37K

$121.2K

$194K

How much do data science degree jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science degree 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 is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a Data Science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a Data Science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.
What are popular job titles related to Data Science Degree jobs in Rochester, NY? For Data Science Degree jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Rochester, NY look for? The top searched job categories for Data Science Degree jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science Degree jobs? Cities near Rochester, NY with the most Data Science Degree job openings:
Infographic showing various Data Science Degree job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,157 per year, or $58.2 per hour.

Customer Marketing Data Science Specialist

superiorplus

Rochester, NY โ€ข On-site

$85K - $105K/yr

Other

Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are looking for a Customer Marketing Data Scientist who combines strong technical expertise with the ability to own business problems end-to-end, partner with stakeholders, and drive decisions through data.ย  In this role, youโ€™ll work hands-on with data while also acting as a key thought partner to Marketing and cross-functional teams. Your success will be defined not just by the models you build, but by your ability to translate insights into action and influence strategy.

If you thrive in ambiguity, enjoy solving real business problems, and can clearly communicate data-driven recommendations to non-technical audiences, this could be your ideal fit.

Why join us:

Culture:ย Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.

Competitive Compensation:ย We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.

Flexibility:ย We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.

Technology:ย Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.

Employee Assistance Programs:ย We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.

Opportunity:ย A continuous focus on professional development with many opportunities for training & career growth.

Safety Focused:ย We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.

What youโ€™ll do:

  • End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes; not just outputs.
  • Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
  • Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.
  • Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
  • Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.
  • Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.
  • Cross-Functional Delivery: Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress.

ย 

What you bring:

  • Bachelorโ€™s degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field; certifications in analytics or AI/ML are an asset
  • 3+ years of experience in marketing, customer analytics, or data science in a business-facing role
  • Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact
  • Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches
  • Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets
  • Experience working with cloud and data platforms such as Azure and Databricks
  • Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively
  • Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques
  • Ability to connect technical outputs to clear business insights and strategic recommendations
  • Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences
  • Comfortable partnering with and influencing stakeholders, with a proactive, curious, and outcome-driven mindset that balances hands-on execution with big-picture thinking

Why join us:

  • Ability to connect technical work to business impact and strategy
  • Strong communication skillsโ€”able to make complex insights accessible and actionable
  • Comfortable engaging stakeholders, challenging assumptions, and guiding direction
  • Curious, proactive, and focused on delivering measurable outcomes

Salary:ย $85,000 - $105,000 annually (based on skills, experience, qualifications, and geography).

Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions.

This posting is a replacement for an existing vacancy.ย We do not use AI tools in the selection process and do not request pay history.