關於Gap集團
我們旗下品牌在世界上的重要鴻溝之間架設橋梁。Old Navy讓時尚觸手可及，確保每個人都能獲得價廉物美的時尚單品。Athleta致力於釋放每一位女性的潛能，不論身材、年齡或種族。Banana Republic相信永續的奢華體驗屬於每個人。Gap更是啓發了全世界，讓所有人透過認真製作的現代服飾必備品展現其獨特個性。
這一簡單的想法——即每個人都需要以自己的方式獲得歸屬感——是我們作為一間公司以及制定決策的核心。我們的團隊由成千上萬名來自世界各地具有冒險精神、全局視野並為顧客、社區和地球行善的員工組成。如果妳具備全局視野，快速學習、無畏創新、大膽領導等品質，歡迎加入我們。
About the Role
The Customer Analytics Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team’s focus is on creating analytical capabilities to support customer acquisition and retention, personalization and marketing at Gap Inc. Areas of expertise include segmentation, targeting, forecasting, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives. You will support the team to build and deploy Data and Analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.
What You'll Do
- Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
- Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols
- Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis
- Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
- Responsible for quality of services and advice in meeting business partner needs
- Responsible for end results of team and shares responsibility over resources, budget and adherence to policies
Who You Are
- Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments
- Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods
- Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
- Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
- Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions
Gap集團為員工提供公平就業機會，並致力於提供無騷擾、無歧視的工作環境。 我們承諾招募、錄取、訓練及升遷所有符合資格的員工，不考量相關身分背景。在決定是否錄取時，也不會考慮應徵者是否具有任何特殊身分。 我們因長期致力於平等而獲獎無數，並將繼續營造一個多元、包容且歸屬感強的環境。 今年，我們連續第17年被人權運動組織評選為“最佳工作場所”之一（a href="https://www.hrc.org/resources/best-places-to-work-for-lgbtq-equality-2022"），同時公司還被納入2021年彭博性別平等指數（ ），這也是公司連續第四年被納入該指數。
Salary Range: $146,500 - $190,500 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
申請
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