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Data Scientist, Customer Care

Req ID:  99562

Do you want to change the world? We do, too.
 
The energy market is roughly $4 trillion globally, and solar penetration is less than 1%.  But just one hour of sunlight, if harnessed, could power the entire world for a year. We have the opportunity to completely change the way energy is produced, distributed and consumed on a global scale, and we’re looking for talented, committed people to help us drive our growth and achieve our goals.
 
SunPower is a global solar energy solutions company with a rich heritage of pioneering the best energy technologies in the world. Our solutions are unrivaled in terms of long-term reliability, efficiency and guaranteed performance, and our company is unmatched in terms of global reach and scale. Through design, manufacturing, installation and ongoing maintenance and monitoring, SunPower provides its proprietary, world-record efficient solar technology to residential, commercial and utility customers worldwide.
 
SunPower is changing the way our world is powered every day with a brilliant, passionate and driven team of more than 2,000 in North America and the Philippines. In an industry that is reshaping the world’s energy future, there’s no better place to be than SunPower.
 
We believe that our employees create our brand – with each project, each communication, each task completed and each interaction. Experience is critical to SunPower in regards to not only our customers but also our employees and dealer partners. As such, we strive to hire candidates that are service focused. The experience we would expect the ideal person to deliver is:

 

SunPower Customer Care team is looking for an outstanding Data Scientist who is data-driven, uncompromisingly detail-oriented, smart, efficient, and driven to help our business succeed. You have a passion for technology. You are keen to leverage existing skills while trying new approaches. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms. As a Data Scientist, you will be working to build advanced predictive and prescriptive analytics to enable the highest levels of customer experience. You will design, implement and support automated data analytics and insight solutions to drive business solutions that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather problem statements and business requirements that are aligned to an ML-driven input/output system to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.

 

Your major responsibilities will include (but not limited to):

 

  • Partner with demand planning, operations, and supply planning to provide best-in-class forecast to support mission-critical cross-functional planning and execution of functional areas including but not limited to Customer Care
  • Assess, interpret, and analyze the data in development of thorough, accurate, and supportable forecasting models and reporting with model backtesting
  • Leverage statistical models and machine learning tools to scientifically quantify macro changes from marketing and operations, to answer key growth challenges related to changes in customer base to support demand
  • Develop data-driven, insightful end-to-end software solutions using machine learning and optimization methods to answer questions, with a focus on root-causing
  • Enable SunPower Corporation management to make informed, data-driven decisions by providing business analyses and building advanced data science models
  • Identify opportunities and potential business problems to create solutions that allow repeatable analysis, provide actionable recommendations, and potential product of the solution
  • Document technical details of your work
  • Constantly pursuing exceptional results that help us win in the stakeholders
  • Encouraging diverse identities, backgrounds, talent, and perspectives
  • Working with all team members, and across teams, to integrate perspectives and encourage contributions
  • Quickly applying feedback and circumstances to team priorities

 

 

Minimum Qualifications:

  • Master or PhD in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or equivalent quantitative fields such as Engineering, Computer Science
  • 8 or more years of industry data scientist experience or equivalent combination of education and experience
  • Experience in both time series and machine learning 
  • Experience building production-quality data science models including Classification, Clustering, Regression, and time series techniques and advanced Machine Learning models
  • Solid understanding and experience in database technologies and SQL mastery
  • Proficiency in Python and environments such as Jupyter/PyCharm/Anaconda
  • Proficiency in Python packages: NumPy, pandas, matplotlib, seaborn, scipy, scikit-learn
  • Proficiency in data visualization tools and packages
  • Excellent grasp of advanced statistical concepts and methods
  • Ability to understand and apply advanced mathematics
  • Must have hands-on experience with time series analysis
  • Familiarity with the end-to-end data science pipeline and workflow
  • Demonstrated analytical and problem-solving skills
  • Ability to own and deliver projects
  • Ability to see the big picture and the demonstration of strong business intuition
  • Ability to translate complex data sets and research into simple business recommendations
  • Ability to compile information into unified reports
  • Ability to manage multiple projects
  • Ability to use version control and collaborative programming tools (Git, Confluence, etc.)
  • Ability to effectively operate both independently and as part of a team
  • Excellent verbal and written communication skills

 

Preferred qualifications:

  • 10 years industry data scientist experience

 

Equal Employment Opportunity
The Company is an equal employment opportunity employer and makes employment decisions, including but not limited to, hiring, firing, promotion, demotion, training, and/or compensation, on the basis of merit. Employment decisions are based on an individual’s qualifications as they relate to the job under consideration. The Company’s policy prohibits unlawful discrimination based on sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions, the actual sex of the individual, or the gender identity or gender expression), race, color, religion, including religious dress practices and religious grooming practices, sexual orientation, national origin, ancestry, citizenship, marital status, familial status, age, physical disability, mental disability, medical condition, genetic information, protected veteran or military status, or any other consideration made unlawful by federal, state or local laws, ordinances, or regulations. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers.


EOE Minorities/Females/Protected Veterans/Disabled

SunPower Supports EEO

Accommodation for Applicants to SunPower Corporation
SunPower Corporation is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need a reasonable accommodation due to a disability, you may use the following alternative email address to contact us about your interest in employment at SunPower Corporation: jobs@sunpower.com. Please indicate in the subject that line of your email that you are requesting accommodation. Only candidates being considered for a position who require an accommodation will receive a follow-up response.

 

NOTICE TO ALL APPLICANTS AND EMPLOYEES

Availability of Affirmative Action Plan for Review

SunPower is a federal government contractor. As a part of the Company’s obligations under law, it must develop a written Affirmative Action Program (AAP) for the Disabled, Recently Separated Veterans, Armed Forces Service Medal Veterans, Disabled Veterans and Active Duty Wartime Or Campaign Badge Veterans and for Women and Minorities as specified by law. Non-confidential and non-proprietary aspects of the AAP are available for inspection by applicants and employees, consistent with applicable law, which will be made available during office hours by contacting the EEO Officer.

 

 

 

SunPower Values

  • Put Customers First
  • Win Together
  • Lead Decisively
  • Innovate Relentlessly
  • Do the Right Thing


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