Analyst, Data Science

Analyst, Data Science

Ce que nous faisons

Chez Kenvue, nous réalisons le pouvoir extraordinaire des soins quotidiens. S'appuyant sur plus d'un siècle d'héritage et enraciné dans la science, nous sommes la maison de marques emblématiques - dont NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® et BAND-AID® que vous connaissez et aimez déjà. La science est notre passion ; Le soin est notre talent.

Qui nous sommes

Notre équipe mondiale est composée de ~ 22 000 personnes brillantes avec une culture d'entreprise où chaque voix compte et chaque contribution est appréciée. Nous sommes passionnés par les idées, l'innovation et l'engagement à fournir les meilleurs produits à nos clients. Avec de l'expertise et de l'empathie, être un Kenvuer signifie avoir le pouvoir d'avoir un impact sur des millions de personnes chaque jour. Nous donnons la priorité aux personnes, nous nous soucions farouchement, nous gagnons la confiance grâce à la science et nous résolvons les problèmes avec courage - et nous vous offrons de brillantes opportunités ! Joignez-vous à nous pour façonner notre avenir et le vôtre. Pour plus d'informations, cliquez sur ici.

Role relève à :

Digital Solutions Manager

Lieu :

Asia Pacific, India, Karnataka, Bangalore

Lieu de travail :

Hybride

Ce que tu vas faire

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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