Flexible Data Science information
See Rochester, NY salary details
$51.3K - $65.5K
3% of jobs
$65.5K - $79.8K
6% of jobs
$98.6K is the 25th percentile. Wages below this are outliers.
$94K - $108.3K
15% of jobs
The median wage is $117.8K / yr.
$108.3K - $122.6K
22% of jobs
$130.4K is the 75th percentile. Wages above this are outliers.
$122.6K - $136.8K
32% of jobs
$136.8K - $151.1K
3% of jobs
$151.1K - $165.4K
4% of jobs
$165.4K - $179.6K
1% of jobs
$179.6K - $193.9K
2% of jobs
How much do flexible data science jobs pay per year?
As of Aug 15, 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.
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.
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.
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 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:
