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Remote Junior Data Scientist Jobs in Rochester, NY

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

Perform data migrations and integrations with external systems using Salesforce APIs ... Bachelor's degree in Computer Science, Information Technology, or a related field. * 5+ years of ...

Perform data migrations and integrations with external systems using Salesforce APIs ... Bachelor's degree in Computer Science, Information Technology, or a related field. * 5+ years of ...

New

Perform data migrations and integrations with external systems using Salesforce APIs ... Bachelor's degree in Computer Science, Information Technology, or a related field. * 5+ years of ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent ...

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent ...

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Showing results 1-20

Remote Junior Data Scientist information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

How much do remote junior data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote junior data scientist 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.

What does a remote junior data scientist do?

A Remote Junior Data Scientist assists in analyzing and interpreting complex data to help organizations make informed decisions, all while working from a location outside the traditional office. Their tasks often include cleaning and organizing data, building basic models, creating visualizations, and assisting senior data scientists with larger projects. They primarily use programming languages like Python or R and work with databases and data visualization tools. Communication and collaboration with team members often happen through digital platforms, making remote work possible. This role is ideal for those with strong analytical skills and a passion for problem-solving using data.

What are the key skills and qualifications needed to thrive as a remote junior data scientist, and why are they important?

To thrive as a Remote Junior Data Scientist, you generally need a solid background in statistics, programming (usually Python or R), and a degree in a quantitative field such as computer science, mathematics, or engineering. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization libraries, as well as experience with machine learning frameworks such as scikit-learn or TensorFlow, is typically expected. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for succeeding in a remote environment. These competencies enable you to analyze data effectively, communicate insights clearly, and independently contribute to team goals from a remote setting.

What are some common challenges remote junior data scientists face when collaborating with distributed teams?

Remote Junior Data Scientists often face challenges such as effective communication, aligning on project goals, and managing time zone differences when working with distributed teams. It can be difficult to get immediate feedback or clarification, which may slow down tasks like data cleaning or model validation. To overcome these challenges, it's important to proactively communicate through regular check-ins, use collaboration tools like Slack or JIRA, and document work clearly. Building relationships with teammates and seeking mentorship can also help you grow and stay engaged in a remote environment.

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

AspectRemote Junior Data ScientistRemote Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some knowledge of programming (Python, R)Bachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, data modeling, and machine learningData reporting, cleaning, visualization, and interpreting data for business insights
Employer & Industry UsageTech companies, startups, finance, healthcareRetail, marketing, finance, consulting

Remote Junior Data Scientists focus on building models and applying machine learning techniques, requiring programming skills and a background in data science. Remote Data Analysts primarily handle data cleaning, visualization, and reporting, often with less emphasis on advanced modeling. Both roles are in high demand across various industries, but they differ in technical complexity and daily tasks.

What are the most commonly searched types of Remote Data Scientist jobs in Rochester, NY?

The most popular types of Remote Data Scientist jobs in Rochester, NY are:

What are popular job titles related to Remote Junior Data Scientist jobs in Rochester, NY?

For Remote Junior Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Junior Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Remote Junior Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Junior Data Scientist jobs?

Cities near Rochester, NY with the most Remote Junior Data Scientist job openings:

Infographic showing various Remote Junior Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution, with an average salary of $121,102 per year, or $58.2 per hour.

Data Solutions Engineer

Rochester, NY • On-site, Remote


Paychex
Human Resources Consulting Services • 10K+ employees

7.3

Company rating: 7.3 out of 10

Based on 176 frontline employees who took The Breakroom Quiz

236th of 496 rated business services

Good employer

Recommended by students

Paid breaks


$113K - $135K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.


Overview
The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence, and large-scale data operations. The role will involve collaborating with cross-functional teams to develop and deploy end-to-end solutions that improve data availability, scalability, security, and overall performance, ensuring alignment with both business goals and technical best practices.
Responsibilities
  • 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, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. Enhance system integration for data workflows, ensuring performance metrics are met and all integrations remain stable and secure. Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud operations
  • Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Azure Data Factory. Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and Azure Pipelines for efficient and reliable data deployment. Ensure data pipelines comply with security, privacy, and compliance standards.
  • Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing guidance on best practices and technologies. Evangelize integration practices and knowledge within the organization to improve collaboration across teams.
  • Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

  • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
    • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
    • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
    • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
    • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
    • Snowflake SnowPro - Preferred

    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

  • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

    • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
      • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
      • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
      • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
      • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
      • Snowflake SnowPro - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    Paychex logo

    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media


    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

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