Kenvueは現在、以下求人を募集しております。
Sr. Analyst, Data Science私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
Digital Solutions Manager場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
Kenvue is currently recruiting for:
Senior 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
· Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
· Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
· Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential
· Lead discussions at peer review and use interpersonal skills to positively influence decision making
· Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
· Facilitate cross-geography sharing of new ideas, learnings, and best-practices
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.
· 4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience 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
· Strong 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 lead, manage, build, and deliver customer business results through data scientists or professional services team
· 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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