| Company: | PEPSI |
|---|---|
| Job Role: | Data Analytics Manager, Snacks & Nutrition； |
| Experience: | (1 TO 5 years): |
| Vacancy: | 10+ |
| Qualification: | Master of Mathematics or Statistics or computer science. |
| Salary: | 1,52,000$ Annual |
| Location: | Shanghai, Greater China Region |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
About the Company:
The soda Pepsi was created by Caleb Bradham, a drug specialist and finance manager from Duplin County, North Carolina. He instituted the name "Pepsi-Cola" in 1898 while promoting the beverage from his drug store in New Bern, North Carolina. As his beverage acquired prevalence, Bradham established the Pepsi-Cola Company in 1902 and enlisted a patent for his formula in 1903.[4] The organization was joined in Delaware in 1919. Bradham's organization experienced long stretches of achievement paving the way to World War I. In any case, sugar proportioning during the conflict and an unstable sugar market in the conflict's consequence harmed the organization's monetary wellbeing so much that in 1923, Bradham bowed out of all financial obligations and got back to running drug stores in North Carolina.[5]
On June 8, 1923, the organization brand name and mystery formula were bought by Craven Holding Corporation. In 1931, Roy Megargel, a Wall Street representative, bought the Pepsi brand name, business, and altruism from Craven Holding in relationship with Charles Guth. Guth was additionally the leader of Loft, Incorporated, a main treats maker situated in Long Island City, New York. Space ran an organization with 115 stores across the Mid Atlantic at the hour of Guth's securing. Guth utilized Loft's labs and scientists to reformulate the Pepsi syrup formula, and he utilized his situation as leader of the organization to supplant Coca-Cola with Pepsi Cola at Loft's shops and eateries. Guth likewise utilized Loft assets to advance Pepsi, and moved the soft drink organization to an area nearby Loft's own offices in New York City.[6]
Job Description:
This is a PepsiCo profession opportunity. This position is in PepsiCo China HQ. If it's not too much trouble, sign onto www.pepsicojobs.com/fundamental/china to discover more vocation prospects in PepsiCo China.
Jobs:
- The information researcher is answerable for building 5+ progressed models in CEM for Snacks and Nutrition to empower exactness showcasing, further develop client commitment , consequently drive media effectiveness and gradual GMV.
- The information scientis is likewise answerable for investigating customers, profound plunge into buyer practices from large information viewpoint to get significant experiences and pracital arrangements.
Accountabilities:
- - Leveraging huge information insightful instruments, AI and other information mining/demonstrating to tackle down to earth business issues and difficulties, including model plan, improvement, check, test, organization, observing and streamlining.
- - Deeply comprehend business situations and interaction, direct profound plunge examination to comprehend buyer buy and utilization events for various SKUs.
- - Build LTV, Churn, Propensity, Clustering and other examination models to drive the CEM application in various business situations.
- - Have vital intuition to help classification group better influence CEM to open information drove capacities and drive substantial effect.
- - Establish a decent connection with CEM seller, help to clean information from various sources. Have the option to deal with all the demonstrating work structure information purging, information handling, include ID, model refinement, and so on
- - Support to break down crusade E2E transformation and create PPTs.
- - Champion and implant GCS getting, control, proprietorship and execution inside GCR to accomplish a powerful review rating.
Work Relationships:
- Inward
- - Category group
- - Media group
- - Insights group
- Outside
- - CEM seller
- Capabilities/Requirements
Qualification:
- - Master of Mathematics or Statistics or software engineering.
- - 5 years of measurement demonstrating and project insight.
- - Familiar with information examination instruments and huge information programing language like Spark SQL, Spark MLlib.
- - Have strong comprehension of large information, investigation systems, how to drive experiences from various measurements, and apply those into genuine business cases. Acquainted with liner relapse, calculated relapse, time series model, bunching, and so forth
- - Master something like one programming language, like Matlab/python/C++/JAVA, have the option to program models and compose demonstrating records.
- - Have great relational abilities, have the option to change over investigation bits of knowledge into reasonable business language.
- - Smoothly composed English, and familiar English discussion in every day work.
- - Have great correspondence ability and energy to master. Being straightforward, mindful, and positive against pressure.
Movement Eligible: Not Applicable
Occupation Type: Regular
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