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Data Scientist Electrical Engineer Jobs in Rochester, NY

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics ...

Electrical Engineer

Rochester, NY · On-site

$100 - $125/hr

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 years of experience. * Strong understanding of electrical systems and codes. * Proficiency in the latest version of AutoCAD, Revit ...

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 years of experience . * Strong Understanding of electrical systems and codes * Proficiency in the latest version of AutoCAD, Revit ...

Electrical Engineer

Rochester, NY · On-site

$100K - $125K/yr

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 years of experience . * Strong Understanding of electrical systems and codes * Proficiency in the latest version of AutoCAD, Revit ...

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 years of experience . * Strong Understanding of electrical systems and codes * Proficiency in the latest version of AutoCAD, Revit ...

Electrical Engineer

Rochester, NY · On-site

$100K - $125K/yr

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 year s of experience . * Strong Understanding of electrical systems and codes * Proficiency in the latest version of AutoCAD, Revit ...

Electrical Engineer

Rochester, NY · On-site

$100K - $125K/yr

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 years of experience * Strong Understanding of electrical systems and codes * Proficiency in the latest version of AutoCAD, Revit ...

Bachelor of Science degree in Electrical Engineering (BSEE). * 5-10 years of experience . * Strong Understanding of electrical systems and codes * Proficiency in the latest version of AutoCAD, Revit ...

Designs can include development of Avionics Systems, RF, LAN, Data Processing, Power Distribution ... Computer Science degree or related technical degree at an accredited university. Preferred ...

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Science Engineering or related field or have completed their bachelor's degree within the past 12 ...

Electrical Engineer Location: Rochester , NY Duartion: Long Term • Bachelor of Science degree or equivalent desired. • Experience with Altium software for PCB/PCBA design with input from ...

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Data Scientist Electrical Engineer information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do data scientist electrical engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data scientist electrical engineer 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 does a data scientist electrical engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

How does a data scientist electrical engineer typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

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

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

Can an electrical engineer work as a data scientist?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.

What are popular job titles related to Data Scientist Electrical Engineer jobs in Rochester, NY?

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

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

The top searched job categories for Data Scientist Electrical Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Scientist Electrical Engineer jobs?

Cities near Rochester, NY with the most Data Scientist Electrical Engineer job openings:

Infographic showing various Data Scientist Electrical Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

AI & GenAI Data Scientist - Manager

Pwc

Rochester, NY

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Key responsibilities

  • Design and implement AI systems to transform raw data into actionable insights

  • Lead teams in the development of scalable machine learning models and solutions

  • Manage complex data analysis and integration to support AI-driven initiatives


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK