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

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests ...

Data Architect - Remote

Rochester, NY · On-site +1

$63 - $81/hr

In this role, you'll work closely with data engineers, data scientists, business leaders, and clients to design and optimize modern data platforms. You'll help ensure data systems are reliable ...

Data Architect - Remote

Rochester, NY · Remote

$63 - $81/hr

In this role, you'll work closely with data engineers, data scientists, business leaders, and clients to design and optimize modern data platforms. You'll help ensure data systems are reliable ...

Data Architect - Remote

Rochester, NY · Remote

$65.25 - $84/hr

In this role, you'll work closely with data engineers, data scientists, business leaders, and clients to design and optimize modern data platforms. You'll help ensure data systems are reliable ...

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance ...

Senior Database Engineer

Rochester, NY · On-site +1

$113K - $177K/yr

Create data products for analytics and data scientist team members to improve their productivity ... For remote locations or positions open to multiple locations, the pay range may reflect several US ...

GCP Manager

Rochester, NY · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Remote Data Scientist information

See Rochester, NY salary details

$37K

$121.2K

$194K

How much do remote data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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 human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

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 Remote Data Scientist jobs in Rochester, NY? For Remote Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Rochester, NY look for? The top searched job categories for Remote Data Scientist jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Data Scientist jobs? Cities near Rochester, NY with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Rochester, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% 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 • On-site, Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Job description

With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software.
Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact.
We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs.
The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members.
Essential Functions:
  • Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources.
  • Provide operational support and troubleshooting for existing processes and systems.
  • Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities.
  • Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform.
  • Ensure data extraction, transformation and loading data meet data security & compliance requirements.
  • Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.
  • Create data tools for data scientist team members that assist them in building and optimizing models.

Requirements
  • BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required.
  • 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets.
  • 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement
  • 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
  • 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments.
  • 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions.
  • 2+ years with Salesforce FSC and Salesforce Data Cloud.

Skills & Competencies:
  • Strong communication and problem-solving skills.
  • Troubleshooting expertise.
  • Proficiency in Python, SQL.
  • Experience with Extract, Transform, Load (ETL) processes.
  • Experience building data pipelines.
  • Experience with Apache Spark and Apache Hadoop.
  • Experience with Amazon Web Services.

Benefits
  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage

The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range.
The salary range is $90,000 - $140,000.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.