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

Data Architect - Remote

Rochester, NY ยท On-site +1

$120K - $173K/yr

... Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Architect - Remote

Rochester, NY ยท Remote

$120K - $173K/yr

... Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Architect - Remote

Rochester, NY ยท Remote

$120K - $173K/yr

... Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Architect - Remote

Rochester, NY ยท Remote

$120K - $173K/yr

... Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Engineer - Remote

Rochester, NY ยท Remote

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

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 ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Engineer - Remote

Rochester, NY ยท Remote

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Engineer - Remote

Rochester, NY ยท Remote

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Platform Engineer - Remote

Rochester, NY ยท Remote

$100K - $150K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Platform Engineer - Remote

Rochester, NY ยท Remote

$100K - $150K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Platform Engineer - Remote

Rochester, NY ยท On-site +1

$100K - $150K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional ... Flexible Time Off * Medical, Dental, and Vision Insurance * 401(k) with Company Match * Company ...

Data Engineer

Rochester, NY ยท On-site

$110K - $140K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects. * Be a flexible builder: Embrace a ...

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Showing results 1-20

Flexible Data Science information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

How much do flexible data science jobs pay per year?

As of Jun 28, 2026, the average yearly pay for flexible data science in Rochester, NY is $121,102.00, 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.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis and decision-making.

Is a data scientist a flexible job?

A data scientist role can offer flexibility in terms of remote work, flexible hours, and project-based assignments, depending on the employer. Many data scientists work independently or as consultants, which can further enhance flexibility, but job requirements such as deadlines and collaboration may influence this. Skills in programming, data analysis, and tools like Python or R are essential for success in flexible work arrangements.

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

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 formal education regardless of age.

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 are the key skills and qualifications needed to thrive as a Flexible Data Scientist, and why are they important?

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.
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 Flexible Data Science jobs in Rochester, NY? For Flexible Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Flexible Data Science jobs in Rochester, NY look for? The top searched job categories for Flexible Data Science jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Flexible Data Science jobs? Cities near Rochester, NY with the most Flexible Data Science job openings:

Customer Marketing Data Science Specialist

superiorplus

Rochester, NY โ€ข On-site

$85K - $105K/yr

Other

Retirement

Posted 27 days ago


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.