Senior Data Scientist (Supply Chain)

Job Title

Senior Data Scientist (Supply Chain)

Job Description

#LI-PHILIN

About Philips

Philips India Limited is a subsidiary of Royal Philips of the Netherlands, a leading health technology company focused on improving people’s health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology, deep clinical, and consumer insights to deliver integrated solutions. The company is a leader in diagnostic imaging, image-guided

Therapy, patient monitoring and health informatics, as well as in consumer health and home care.

About Philips Global Business Services (GBS)

Philips Global Business Services delivers excellence in the execution of business services, enabling an agile repeatable framework to leverage market opportunities that contribute to extending our leadership as a Health Technology company. Our people are a key part of the transformation program in Philips and at GBS, you become part of a global team of professionals that form the backbone of this journey.

Job Description Summary

A data expert with serious analytical and statistical chops. You know how to take massive amounts of data and find the insights supply chain teams need to help their respective functions to do more.

Critical thinker who enjoys data analytics, creativity, naturally curious, and is a problem solver utilizing database and analytical skills. High growth company building analytics function - requires flexibility, holistic thinking, time prioritization, execution of rapid transformations, and capability of effectively influence. Responsible for complex cross functional programs to successful and timely decision points supporting world class supply chain operations.

Accountable for moving analytics to strategy within a program or model working with business partners. Valued candidates have a breadth of work experience or educational coursework to ensure highest level of partnership and capability to understand business requirements and anticipating solutions.

Responsibilities

Implements solutions to problems using data analysis, data mining, optimization tools and machine learning techniques and statistics

Build data-science and technology based algorithmic solutions to address business needs

Design large scale models using Logistic Regression, Linear Models Family, Conjoint Analysis, Spatial models, Time-series models, Text mining

Drive the collection of new data and the refinement of existing data sources

Analyze and interpret the results of analytics experiments

Applies a global approach to analytical solutions-both within a business area and across the enterprise

Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics

Ability to share dashboards, reports, and Analytical insights from data

Experience of having done visualization on large datasets – Preferred – added advantage

Technical Knowledge and Skills required

Experience solving analytical problems using quantitative approaches

Passion for empirical research and for answering hard questions with data

Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources

Ability to apply a flexible analytic approach that allows for results at varying levels of precision

Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Expert knowledge of an analysis tool such as R, Python, Matlab, or SAS

Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)

Familiarity with relational databases and SQL

Soft Skills Required

Good communication and presentation skills

Highly driven, energetic, flexible, resourceful & ability to multitask

Adherence to timelines, without sacrificing quality of output

Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies and with different stakeholders at Exec and Director levels

Work Experience

Experience in Data science/Analytics/Statistician roles

Can be from e-Commerce companies like Amazon, Flipkart etc.

Academics

Master’s degree in a quantitative discipline, e.g., Math, Statistics, Physics, Operations Research, Economics, Econometrics

MBA /BTech-BE from IIT/NITs or Tier 1 engineering schools only, , MS Analytics from Tier 1 schools

Strong exposure to Statistics – Predictive Analytics – Mandatory

In return, we offer you

• A challenging, innovative environment with great opportunities to explore. Our benefits are very competitive and designed around your preferences:
• A rewarding career in Philips with attractive package. `
• A variable bonus based on both Philips results and personal performance
• Extensive set of tools to drive your career, such as a personal development budget, free training and coaching
• Attractive collective health insurance package
• Opportunity to buy Philips shares and products with discount

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.

Notice for Philips Job Seekers

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