Analyst, Data Science

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在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。

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我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.

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你會做什麼

Kenvue is currently recruiting for:

Analyst, Data Science [Forecasting]

This position reports to the Manager, Digital Solutions and is based at Bangalore, India.

Who we are

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.

Role reports to: Manager, Digital Solutions

Location: Bangalore, India

Travel %: up to 10%

What you will do 

A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behavior and what is and is not considered, thus building trust in the models to drive usage.

Key Responsibilities

·       Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions

·       Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)

·       Solid understanding of time-series forecasting techniques

·       Good hands-on skills in both feature engineering and hyperparameter optimization

·       Able to write clean and tested code that can be maintained by other software engineers

·       Able to clearly summarize and communicate data analysis assumptions and results

·       Able to craft effective data pipelines to transform your analyses from offline to production systems

·       Self-motivated and a proactive problem solver who can work independently and in teams

·       Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions

·       Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change

What We Are Looking For

Required Qualifications

·       Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.

·       2 – 3 years of total work experience as data scientist or analytical role, with at least 1 project in time series forecasting

·       A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project

·       Hands on experience in Time Series Forecasting and Demand Planning

·       Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)

·       Good hands-on skills in both feature engineering and hyperparameter optimization

·       Experience producing high-quality code, tests, documentation

·       Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

·       Proficiency in statistical concepts and ML algorithms

·       Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results

·       Self-motivated and a proactive problem solver who can work independently and in teams

·       Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams

Desired Qualifications

·       Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred

·       Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred

·       Experience in creating CI/CD pipelines for deployment using Jenkins.

·       Experience implementing MLOPs framework along with understanding of data security

·       Implementation on ML models

·       Exposure to visualization packages and Azure tech stack.

What’s in it for you

·    Competitive Total Rewards Package*

·    Paid Company Holidays, Paid Vacation, Volunteer Time & More!

• Learning & Development Opportunities

• Employee Resource Groups 

• This list could vary based on location/region

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.

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