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

Develops an understanding & expertise of the business, application, and data domain they are ... Directly negotiates with and functions as a liaison with other IT resources, business stakeholders ...

Develops an understanding & expertise of the business, application, and data domain they are ... Directly negotiates with and functions as a liaison with other IT resources, business stakeholders ...

Oncology Nurse Educator

Webster, NY · On-site

$162K - $243K/yr

... Life Science fields of health care and agriculture. Its products and services are designed to ... Serves as a liaison, educator, and promotional conduit to health care professionals in support of ...

Oncology Nurse Educator

Rochester, NY · On-site

$162K - $243K/yr

... Life Science fields of health care and agriculture. Its products and services are designed to ... Serves as a liaison, educator, and promotional conduit to health care professionals in support of ...

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Data Science Liaison information

See Rochester, NY salary details

$22.9K

$115.4K

$192.5K

How much do data science liaison jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data science liaison in Rochester, NY is $115,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,967.00 and $152,813.00 per year, depending on experience, location, and employer.

What is a data liaison?

A data liaison is a professional who acts as a bridge between data teams and other departments, facilitating communication and understanding of data needs and insights. They often possess skills in data analysis, communication, and familiarity with data tools like SQL or Python to ensure accurate data interpretation and project alignment.

Is 40 too late for data science?

The Data Science Liaison role, like many data-related careers, values skills and experience over age. Professionals can enter data science at any age by acquiring relevant skills such as programming, statistics, and tools like Python or R, and building a portfolio. Age should not be a barrier if you are committed to learning and adapting to industry demands.

What are the key skills and qualifications needed to thrive in the Data Science Liaison position, and why are they important?

To thrive as a Data Science Liaison, you need a solid understanding of data analytics, statistical concepts, and business operations, typically backed by a degree in a quantitative field and experience working with data-driven projects. Familiarity with tools such as SQL, Python, and data visualization platforms, along with certifications like Certified Analytics Professional (CAP), can be highly valuable. Exceptional communication, stakeholder management, and problem-solving skills are essential for effectively bridging the gap between technical and non-technical teams. These abilities enable a Data Science Liaison to translate complex analyses into actionable business insights and facilitate successful project implementation.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 for those with extensive experience, advanced skills in machine learning, and industry expertise. These roles typically require strong leadership, strategic thinking, and proficiency with tools like Python, R, and cloud platforms.

What is a Data Science Liaison job?

A Data Science Liaison acts as a bridge between data science teams and business stakeholders, ensuring effective communication and alignment of goals. They translate complex data insights into actionable business strategies and help non-technical teams understand the value of data-driven decisions. This role often involves coordinating projects, defining requirements, and ensuring that data solutions align with organizational needs. Strong analytical, communication, and project management skills are essential for success in this position.

What does a science liaison do?

A science liaison acts as a bridge between scientific teams and external stakeholders, such as clients, regulatory agencies, or other departments. They communicate complex scientific information clearly, facilitate collaboration, and ensure that research and data meet organizational or regulatory standards. Skills in communication, scientific knowledge, and familiarity with data tools are essential for this role.

What are the common team dynamics and collaborative responsibilities for a Data Science Liaison?

A Data Science Liaison typically works at the intersection of data science teams, business stakeholders, and sometimes external partners, fostering clear communication and mutual understanding. In this role, you will often facilitate requirements gathering, clarify project objectives, and ensure that data-driven solutions are aligned with broader business goals. Collaboration includes translating technical findings into actionable insights for non-technical audiences and ensuring stakeholders’ feedback is incorporated into the project lifecycle. This environment requires adaptability, as priorities can shift quickly and effective teamwork is crucial for success. Many professionals find this role rewarding for its opportunities to drive impactful, data-informed decision-making across the organization.

What are popular job titles related to Data Science Liaison jobs in Rochester, NY? For Data Science Liaison jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science Liaison jobs in Rochester, NY look for? The top searched job categories for Data Science Liaison jobs in Rochester, NY are:

Business System Analyst II/III/IV

Lthc

Rochester, NY

Full-time

Medical, Dental, Retirement

Posted 9 days ago


Job description

Job Description:

Summary:

The Business Systems Analyst is a critical role in the delivery of products for Lifetime Healthcare Companies. This position collaborates with stakeholders throughout the organization to understand business objectives and defines IT system requirements and specifications for the implementation of IT system solutions. The Business Systems Analyst will serve as the primary interface between the business and IT teams to gather, document and analyze all level of requirements with the emphasis on delivering functional and non-functional requirements to solution architects and IT teams. Business Systems Analyst, in collaboration, with their stakeholders sets scope for work items.

The Business Systems Analyst position is an excellent opportunity to be a part of a cross-functional team working across the enterprise, on enterprise services. We are looking for an individual who has prior, hands-on experience as a back-end software developer, to best partner with the business, solution architects, developers and BSAs on other development teams and the BSA's development team. This is a great way to be a part of an in-demand, and growing tech team!

Essential Accountabilities:

All Levels:

  • Collaborates with all stakeholders to elicit, analyze, specify, and gather business, stakeholder, and solution requirements. This will include assisting and/or contributing to the creation of documented requirements leveraging the organization's requirements methodology.
  • Creates functional and non-functional requirements based on stakeholder requirements including business, IT and recommended best practices.
  • Develops an understanding & expertise of the business, application, and data domain they are assigned.
  • Conducts or participates in peer reviews of business, stakeholder, and solution requirements.
  • Defines scope as they flow from business stakeholders to development teams in an iterative release process.
  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.
  • Maintains high regard for group, member, and agency privacy in accordance with the corporate privacy policies and procedures.
  • Regular and reliable attendance is expected and required.
  • Performs other functions as assigned by management.

Level II (in addition to Level I essential accountabilities

  • Conducts research and systems analysis required to deliver IT systems related requirements including data and cloud technologies.
  • Proactively manages changes in scope, identifies potential risks, and works with management and development team(s) to create recovery plans.
  • Works with Business Stakeholders to identify the minimal viable product (MVP).

Level III (in addition to Level II essential responsibilities/accountabilities)

  • Assesses requirements to provide recommendations for improvements.
  • Mentors and trains other Business Systems Analyst I/II's in various practices and other products.
  • Considered a subject matter expert in their assigned business area and data domain.
  • Leads complex projects and work efforts to obtain requirements to ensure solutions are appropriate and directly support the business, enterprise, and data strategies.

Level IV (in addition to Level III essential responsibilities/accountabilities)

  • Leads peer reviews with other Business Systems Analyst to assess quality and completeness of requirements, providing feedback and guidance.
  • Works collaboratively across the organization to identify potential areas for process or implementation improvements, addressing any impediments to the product or project.
  • Directly negotiates with and functions as a liaison with other IT resources, business stakeholders and external vendors/partners. Often fills the role of project spokesperson. Writes and speaks fluently on all aspects of work.
  • Considered a subject matter expert across many business areas and data domains.
  • Demonstrated leadership in creating requirements while working collaboratively with multiple levels of management and architects from across the enterprise.

Minimum Qualifications:

NOTE: We include multiple levels of classification differentiated by demonstrated knowledge, skills, and the ability to manage increasingly independent and/or complex assignments, broader responsibility, additional decision making, and in some cases, becoming a resource to others. In addition to using this differentiated approach to place new hires, it also provides guideposts for employee development and promotional opportunities.

Level I:

  • Associate degree in Information Technology, Computer Science, Engineering, Business, or related field. In lieu of a degree, three (3) years of relevant work experience is required.
  • Basic understanding of various business flow diagraming tools like data flow, UML or capabilities matrices.
  • Demonstrated basic understanding of data and systems analytics skills.
  • Basic experience writing requirements or user stories that are clear, concise, and well organized.
  • Basic understanding of waterfall or agile scrum methodologies and familiarity with Automated Testing preferred.
  • Demonstrated Intermediate communication skills: oral presentations, writing, facilitation, elicitation, negotiation, active listening, influence positive team dynamics.
  • Advanced MS Office knowledge.
  • Ability to prioritize work components and define objectives effectively without assistance and with minimal supervision.
  • Demonstrated critical thinking and analytical approach to providing solutions at an intermediate level.
  • Ability to work effectively in a team environment.

Level II: All qualifications of Level I, as well as the following

  • Three (3) years of relevant work experience.
  • Associate degree in Information Technology, Computer Science, Engineering, Business, or related field. In lieu of a degree, three (3) additional years of relevant work experience is required.
  • Basic SQL skills with the ability to effectively execute SQL queries, interpret data and read through procedural code.
  • Intermediate knowledge of business, technology, and data domain they are assigned.
  • Intermediate data and systems analytics skills.
  • Demonstrated intermediate experience with various business flow diagraming tools like data flow, UML or capabilities matrices.
  • Demonstrated intermediate experience in the Health Plan or healthcare industry especially as it relates to overall health insurance value chain and processes preferred.
  • Demonstrated intermediate experience writing requirements or user stories that are clear, concise, and well organized.
  • Demonstrated intermediate experience with waterfall or agile scrum methodologies and familiarity with Automated Testing preferred.

Level III: All qualifications of Level II, as well as the following:

  • Five (5) years of relevant work experience.
  • Associate degree in Information Technology, Computer Science, Engineering, Business, or related field. In lieu of a degree, three (3) additional years of relevant work experience is required.
  • Scrum Master, Product Owner, Business Analyst or Lean Six Sigma Green Belt Certifications preferred.
  • Advanced understanding of application and data systems and how they are used in the organization.
  • Advanced understanding of common architecture and development best practices.
  • Intermediate SQL skills with the ability to effectively execute SQL queries, interpret data and read through procedural code.
  • Demonstrated advanced writing requirements in various formats, including user stories and Gherkin preferred.
  • Demonstrated advanced ability to facilitate and lead Joint Application Requirements (JAR) or similar sessions.
  • Demonstrated advanced experience with various business flow diagraming tools like data flow, UML or capabilities matrices.
  • Demonstrated advanced experience within an Agile and waterfall environment, Scrum preferred.

Level IV: All qualifications of Level III, as well as the following:

  • Seven (7) years of relevant work experience.
  • Associate degree in Information Technology, Computer Science, Engineering, Business, or related field. In lieu of a degree, three (3) additional years of relevant work experience is required.
  • Advanced SQL skills with the ability to effectively execute SQL queries, interpret data and read through procedural code.
  • Expert experience writing requirements.
  • Demonstrated advanced data and systems analytics skills.
  • Demonstrated expert experience with various business flow diagraming tools like data flow, UML, or capabilities matrices.
  • Demonstrated expert knowledge of application systems and data systems and how they are used in the health care industry.
  • Demonstrated expert understanding of common architecture and development best practices.

Physical Requirements:

  • Ability to complete work in a traditional office environment under fluorescent lighting.
  • Ability to orally communicate.
  • Must be able to travel across the enterprise.
  • Ability to work in a home office for continuous periods of time for business continuity

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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level II - Min: 65,346 Max: 117,622

Level III - Min: 71,880 Max: 129,384

Level IV - Min: 87,766 Max: 157,978

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.