Data Scientist - IT Manager

Key Skills

Apache Hadoop, Apache Hive, Big Data Technology, C++, Data Analytics, Data management, Data science techniques, Data Visualization, Deep Learning, IT, Java Programming, Keras software library, MapReduce, Python Programming, R Programming, Scala Programming, SPARK Programming, SQL, TensorFlow

Job Description

P&G was founded over 180 years ago as a simple soap and candle company. Procter & Gamble is one of the largest FMCG (Fast Paced Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&G the company and our brands please visit www.pg.com and our career website at pgcareers.com. We've spanned three centuries thanks to three simple ideas: leadership, Innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. A place where you can be proud to work and do something that matters.

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.

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

• 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

• 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.

Meet the Functional Leader

Just so that you know: We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: “Everyone valued. Everyone included. Everyone performing at their peak.”