Data Scientist

Posted:
8/4/2024, 5:00:00 PM

Location(s):
Mumbai, Maharashtra, India ⋅ Maharashtra, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Job Location

Mumbai

Job Description

Overview of the job      

Data Scientist (IT Manager) – Commercial Data Science (Retail, Supply Chain & Marketing Data Science) 

Location – Mumbai, India 

This role reports to IT Director- Data Science.

Your team

About the Data Science Team:

Information Technology (IT) uses information and business knowledge to craft innovative solutions that change the way P&G runs business.

Do you want to belong to one of the most advanced IT organizations in the world, transforming every single day the way business is done through technology and innovation? Do you have passion for technology and desire to learn and grow continuously? A career in IT with us will build your ownership and influencing skills and will provide you a breadth of experiences across multiple businesses, and depth of expertise.

About P&G IT:

Digital is at the core of P&G’s accelerated growth strategy. With this vision, IT in P&G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification & Innovation. IT in P&G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value & growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, Product Supply. 

Click here to hear from the Functional Leader!

Dedication from Us:

You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative work spaces where new ideas flourish. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.

What we Offer:

Continuous mentorship – you will collaborate with passionate peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and supportive work environment– employees are at the centre, we value every individual and support initiatives, promoting agility and work/life balance.

Responsibilities of the role

Do you enjoy designing research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work? If this sounds appealing, we would love to hire someone with your skills and abilities! As a Data Scientist, you'll be using Big Data and advanced analytics to direct the engagement of our business leaders.

  • Collaborating actively across functional partners and senior management to accomplish various project objectives.
  • Executing research and analytics, including data source identification, processing, model/algorithm development.
  • Turning insights into actionable recommendations which will drive business value creation. We need someone who is technically capable as a Data Scientist. You will get into the details of the data, demonstrating artificial intelligence and analytic tools (Python, R, Scala, Spark, TensorFlow, Hadoop, KNIME, etc.) to unlock business building insights in our mountains of data. You must be adept at demonstrating technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.

Job Qualifications

Role Requirements

  • Bachelors in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.), Advanced courses in Business Analytics/Data Science/Data Analytics
  • 2+ years experience with proven leadership in applying and scaling Analytic techniques to deliver impactful insights from data (in academics or in industry).
  • Strong written and verbal communication skills to influence others to take action.
  • Able to balance multiple priorities.
  • Good social skills, self-motivated, dynamic with a can-do mentality.
  • Strong enthusiasm and curiosity about the intersection of business and technology.
  • Scientific Computing: R, Python, C++, Java, Scala, etc.

Preferred skills to have

  • Masters in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or have equivalent work experience.
  • Experience in disrupting current business practices in CPG or related industries to help crafting a new go-to-market models.
  • Experience with Analytical Tools/Applications including:
  • Unix/Linux
  • Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, HIVE
  • High-Performance Parallel and Distributing Computing
  • Deep Learning frameworks: Keras, Tensorflow
  • Data Visualisation
  • Data Management Systems
  • Business Intelligence tools: such as KNIME, Tableau etc.

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000111920

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)