2

Entry Level Behavioral Data Scientist Jobs in Rochester, NY

Investigate and analyze the development, morphology, and behavior of microscopic organisms ... Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI ...

Showing results 41-60

Entry Level Behavioral Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do entry level behavioral data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level behavioral data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What is an entry level behavioral data scientist?

An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.

What types of projects does an entry level behavioral data scientist typically work on, and how do they collaborate with other teams?

Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.

What are the key skills and qualifications needed to thrive as an entry level behavioral data scientist, and why are they important?

To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.

What are popular job titles related to Entry Level Behavioral Data Scientist jobs in Rochester, NY?

For Entry Level Behavioral Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Behavioral Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Entry Level Behavioral Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Entry Level Behavioral Data Scientist jobs?

Cities near Rochester, NY with the most Entry Level Behavioral Data Scientist job openings:

Infographic showing various Entry Level Behavioral Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Rochester, NY โ€ข Remote

$70 - $90/hr

Part-time

Re-posted 11 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.