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

Butler/Till, Inc.

Data Operations Analyst

Rochester, NY · On-site

$47K - $74K/yr

Manage document versioning and maintain a history of updates for agency working documents ... REQUIRED o Bachelor's degree in Business Administration, Marketing, Computer Science, Information ...

New

Pwc

Data Engineer - Senior Associate

Rochester, NY · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... in data architecture development and data modeling - Implementing data pipeline and data ...

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

... in Management Information Systems, Computer and Information Science, Systems Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Deloitte

Project - Data Engineer II

Rochester, NY · On-site

$113K - $135K/yr

Understanding of data quality, data governance, and metadata management. * Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline ...

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All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Rochester, NY

Manager Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do manager data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager 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 are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
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 cities near Rochester, NY are hiring for Manager Data Scientist jobs? Cities near Rochester, NY with the most Manager Data Scientist job openings:
Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

Data Operations Analyst

Butler/Till, Inc.

Rochester, NY • On-site

$47K - $74K/yr

Full-time

PTO

Posted yesterday

New

Job description

Description
SUMMARY
The Data Operations Analyst is responsible for interfacing with various departments, including Account Service, Channel Activation, Product, Operations, and Creative/Production, to develop and manage all data deliverables necessary to execute client campaigns. This role ensures data accuracy, manages account databases, creates and maintains documents, and oversees the routing of information across the agency. This role also involves translating client and agency needs into clear directives for software development. The Data Operations Analyst is a proactive problem solver with strong communication skills, thriving in a fast-paced, deadline-driven environment, and contributing significantly to client-facing deliverables.
KEY OUTCOMES & RESPONSIBILITIES
Key Outcome: Ensure Accurate and Timely Data Management
Key Responsibilities:
  • Maintain and manage account databases, ensuring the accuracy and availability of data for various stakeholders.
  • Develop and distribute documents and templates to facilitate media buying, creative ordering, traffic, billing, and campaign pacing.
  • Manage document versioning and maintain a history of updates for agency working documents.
  • Identify risks and dependencies across deliverables to anticipate and mitigate potential issues.

Key Outcome: Optimize Workflow and Project Management
Key Responsibilities:
  • Work with stakeholder groups to define project scopes, reporting metrics, and data sources, providing solutions and recommendations.
  • Serve as the subject matter expert on marketing programs, agency software, reporting tools, and workflow processes.
  • Develop formal processes and maintain accurate documentation, championing continuous improvement efforts. Partner with cross-functional teams, gathering requirements and enhancing workflows through automation.
  • Manage multiple projects simultaneously, ensuring deadlines are met in a fast-paced environment.

Key Outcome: Facilitate Cross-Departmental Communication and Collaboration
Key Responsibilities:
  • Act as a liaison between centralized and decentralized groups, promoting the use of data across departments.
  • Collaborate with Product team to translate client and agency needs into clear, actionable directions for software and website development.
  • Demonstrate subject matter expertise of the internal data ecosystem to effectively transform and repurpose data for various agency functions, including media buying, creative ordering, billing, and reporting.

QUALIFICATIONS
  • REQUIRED
    o Bachelor's degree in Business Administration, Marketing, Computer Science, Information Technology, Statistics, Mathematics, or a related field.
    o 2+ years of experience managing large projects with a focus on data management.
    o Extensive use of Microsoft Excel, including pivot tables and Power Pivot.
    o Experience with project management software, such as Wrike.
    o Intermediate project management skills, detail-oriented, and capable of multitasking in a fast-paced environment.
    o Excellent communication skills, with the ability to present to clients and internal stakeholders.
  • PREFERRED:
    o Experience in marketing, digital marketing, and/or customer data management.
    o Experience writing Excel macros and/or Power Automate
    o Agency and/or media experience.
    o A combination of education and relevant experience will be considered

CORE COMPETENCIES
  • CUSTOMER FOCUS/CLIENT INTIMACY: seeking to understand client business challenges/needs and delivering continuous value to our clients
  • COLLABORATIVE: working with teams and across the organization with ease
  • OWNER AGILITY: able to continuously learn and quickly adapt to changing circumstance
  • RESULTS DRIVEN: accepts accountability to deliver business outcomes, even under changing circumstances. Delivers on commitments
  • DISCIPLINED: Thinks, plans, and prioritizes work on an ongoing basis, plans and aligns with key team members before acting

WORK ENVIORNMENT & PHYSICAL DEMANDS
The work environment and physical demands characteristics described here are representative of those an employee encounters while performing the essential functions of this job, typically in an office setting or in a home office. An employee in this role may be in a stationary position, often standing or sitting for prolonged periods and using office equipment and computers. The noise level in the office environment is usually moderate. (I.e., business office with computers and printers, light foot traffic, etc.). Reasonable accommodation may be requested to enable individuals to perform the essential functions.
COMMITMENT TO DIVERSITY, EQUITY, INCLUSION AND BELONGING
Our dedication to Diversity, Equity, Inclusion, and Belonging (DEIB) is a cornerstone of our culture. We believe that the diversity and inclusivity of our workforce are sources of strength. As you become part of our community, you'll discover that we are dedicated to creating a positive impact, not only for our clients but also for the communities where we live and work.
EEO DISCLAIMER
Butler/Till is an Equal Opportunity Employer to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
COMPENSATION
Butler/Till is committed to providing pay transparency of our compensation philosophy and ensuring equitable pay practices for our employee owners. The compensation range for this position is $47,000- $74,000 and represents the annual salary range in Rochester, NY. Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.
This is just one component of Butler/Till's total compensation package for employee owners. The total compensation package for this position may also include other elements, including ESOP (employee stock ownership plan), an annual bonus, in addition to a full benefits package, and paid time off benefits, including 100% paid parental leave. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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