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Data Science Manager

Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Manage and mentor a team of data scientists and analysts

  • Lead delivery of multiple analytics projects on time and to stakeholder expectations

  • Oversee development of predictive models and Gen AI solutions

  • Monitor model performance and use feedback loops to refine strategies

  • Act as strategic partner to business units, IT, and automation teams

From the employer’s posting
Manages and mentors a team of data scientists and analysts
Leads the delivery of multiple analytics projects, ensuring they meet business objectives, timelines, and stakeholder expectations.
Oversees the development and implementation of predictive models and Gen AI solutions
Monitors processes for model performance and operational outcomes, using data-driven feedback loops to refine strategies
Serves as a strategic partner to business units, IT, and automation teams

What you’ll bring

All qualifications

Core experience

  • Experience leading a technical/analytical team.

Preferred experience

  • Master’s degree or Ph.D. in data science, computer science, statistics, engineering, or a related STEM field.
  • Strong knowledge of machine learning, artificial intelligence, and mathematics, with the technical depth to guide solution design and development.
  • Demonstrated ability to solve complex problems and identify opportunities where data science and AI can create business value.
Qualification wording
Five or more years of experience supervising a team of direct reports and/or project management. Experience leading a technical/analytical team.
Master’s degree or Ph.D. in data science, computer science, statistics, engineering, or a related STEM field.
Strong knowledge of machine learning, artificial intelligence, and mathematics, with the technical depth to guide solution design and development.
Demonstrated ability to solve complex problems and identify opportunities where data science and AI can create business value.
Education & alternatives
Preferred Qualifications - Master’s degree or Ph.D. in data science, computer science, statistics, engineering, or a related STEM field. - Five or more years of hands-on data science experience spanning the full solution lifecycle, including ETL processes, feature engineering, model development and validation, and the translation of analytical results into actionable business insights.

About Southern California Edison

The people at SCE don't just keep the lights on.

In the employer’s words · Read in context

Posting record

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Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 6, 202690 days ago
Recorded sightings
441
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 90

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,839 similar postings that came down. Coming down is not always a hire.

Southern California Edison is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

 

Join the Clean Energy Revolution

 

Become a Data Science Manager at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll lead a team of data scientists in developing and deploying innovative asset risk models that inform strategic decision-making and support regulatory filings. As a trusted technical leader, you will partner with engineers, strategy owners, IT, risk management, and regulatory teams to translate complex business needs into scalable solutions that help reduce wildfire, safety, and reliability risks. Your contributions will advance key company initiatives and help shape the future of data-driven risk management at SCE.

 

As a Data Science Manager, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

 

Responsibilities

  • Manages and mentors a team of data scientists and analysts working on proactive and predictive analytics projects, developing team skills and fostering a collaborative, innovative environment.
  • Leads the delivery of multiple analytics projects, ensuring they meet business objectives, timelines, and stakeholder expectations.
  • Oversees the development and implementation of predictive models and Gen AI solutions to proactively address customer service issues and operational inefficiencies.
  • Serves as a strategic partner to business units, IT, and automation teams to translate complex data insights into actionable, customer-facing solutions.
  • Monitors processes for model performance and operational outcomes, using data-driven feedback loops to refine strategies and improve business processes.
  • Stays current on industry trends and AI advancements to bring innovative practices into analytics and automation efforts.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications

  • Five or more years of experience supervising a team of direct reports and/or project management. Experience leading a technical/analytical team.

 

Preferred Qualifications

 

  • Master’s degree or Ph.D. in data science, computer science, statistics, engineering, or a related STEM field.
  • Five or more years of hands-on data science experience spanning the full solution lifecycle, including ETL processes, feature engineering, model development and validation, and the translation of analytical results into actionable business insights.
  • Strong knowledge of machine learning, artificial intelligence, and mathematics, with the technical depth to guide solution design and development.
  • Demonstrated ability to solve complex problems and identify opportunities where data science and AI can create business value.
  • Strategic thinker who aligns innovative solutions with key company initiatives and long-term business priorities.
  • Strong written and verbal communication skills, with the ability to present complex technical information clearly and concisely to executives, stakeholders, and nontechnical audiences.
  • Demonstrated success in leading and developing teams, managing competing priorities, and delivering results in a fast-paced environment.

 

Additional Information

 

  • This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Relocation may apply to this position.

 

About Southern California Edison

 

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

 

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

 

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at AskHR@sce.com or (626) 302-3456 and select option 2.

 

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Pay

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Location & working pattern

Pomona, CA, US

Additional Information - This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. - Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
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