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1 день назад

Data Analytics, Advisor (Machine Learning)

129 200 - 193 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analytics, Advisor (Machine Learning): Developing advanced analytics, predictive models, dashboards, and regulatory reporting for Building Electrification and Income Qualified programs with an accent on statistical modeling, data quality, and cross-functional decision support. Focus on cleaning data from multiple sources, communicating complex insights to non-technical stakeholders, and improving analytical methodologies in a hybrid California-based role.

Location: Hybrid in Irwindale, California; employees are generally required to work and reside in California. The role reports to an SCE facility for a set number of days and allows remote work on the remaining days. Relocation does not apply.

Salary: $129,200–$193,700 annually

Company

hirify.global is an electric utility focused on clean energy innovation, customer safety, and reliable service.

What you will do

  • Lead complex analytical initiatives supporting Building Electrification and Income Qualified programs.
  • Gather, clean, preprocess, and validate data from databases, spreadsheets, APIs, and data warehouses.
  • Apply statistical analysis, data mining, predictive modeling, and machine learning techniques to identify trends and patterns.
  • Develop dashboards, visualizations, reports, and actionable recommendations for technical and non-technical stakeholders.
  • Monitor data quality and performance metrics while improving analytics methodologies and processes.
  • Collaborate with data scientists, business analysts, and cross-functional stakeholders to align analysis with business needs.

Requirements

  • Seven or more years of experience in data analysis.
  • Experience using a variety of data tools and software.
  • Experience with programming tools such as SQL, Python, SAS, or similar.
  • Experience developing predictive models, statistical analyses, or machine learning applications.
  • Ability to prepare executive-level reporting and communicate complex insights to non-technical audiences.
  • Ability to work and reside in California and attend an SCE facility under the hybrid work arrangement.

Nice to have

  • Bachelor’s degree in Business, Data Science, Economics, Statistics, Engineering, or a related field.
  • Experience with Power BI, Tableau, or similar dashboard and reporting platforms.
  • Familiarity with Building Electrification, Energy Efficiency, or Income Qualified programs.
  • Experience with CPUC reporting, audits, data requests, or other regulatory environments.
  • Experience managing multiple analytical projects and influencing outcomes through data-driven insights.

Culture & Benefits

  • Hybrid work mode with scheduled facility attendance and remote work on remaining days.
  • Participation in emergency response and business continuity efforts may be required.
  • On-call Incident Management Team rotation approximately every four to six weeks.
  • Responsibility for protecting physical, financial, cybersecurity, customer, medical, and proprietary data.
  • Work focused on reducing carbon emissions and supporting cleaner energy programs.

Hiring process

  • Further details about the hybrid work mode will be discussed during the interview.
  • Applications are considered in accordance with applicable California and Los Angeles County fair-chance employment requirements.

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