Experienced Data Scientist

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Procter & Gamble
Data Science, Active Directory, Advanced analytics, Algorithms, Apache Spark, Applied mathematics, Big data, Deep learning, Statistics, SAP BASIS, Modeling, SQL, Scala, Unix, Tableau
Full Time
$120,000 - $140,000
Work from home not available Travel required to 10%.

Job Description

Do you enjoy designing enterprise level research and analytic frameworks? How would you like to turn on your creative genius and problem-solving alongside business leadership? You will be using Big Data and advanced analytics to direct the engagement of our marketing business leaders as well as collaborating actively across functional partners to accomplish various project objectives. We are looking for someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Ultimately your models will result in actionable recommendations which will drive business value creation.

You will get your hands dirty in the data and algorithm development, leveraging artificial intelligence and analytic tools (R, Python, Scala, Spark, Hadoop, KNIME, etc.) to unlock business building insights in our mountains of data. You will need to be adept at leveraging such 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 applied to retail problems.

At P&G, Data Scientists are Business Leaders. The ideal candidate will be an effective communicator, self-motivated, and able to drive insights into actions that improve P&G’s business results. Your Business knowledge, interpersonal/communication skills are therefore a requirement to thrive in a multi- functional leadership team.

We need someone who is passionate about analytics. Your analytic skills are the foundation of this role. The ability to mine terabytes of data, derive actionable insights, and then translate those insights into business improving action is essential in our work. You will need to be the primary evangelist to the business for the power of predictive analysis and develop business cases to illustrate the potential for change in decision-making that occurs when you begin to anticipate what will happen, versus just reflecting on what has occurred.

QUALIFICATIONS

Leaders who have a degree in Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field. Ability to do hands-on mathematical algorithm development as well as programming.

If you are a good fit for the Data Scientist position, you will have:

  • Proven leadership in applying and scaling Analytic techniques to be used at an enterprise level.
  • (Preferred) Experience working with granular media data including programmatic environments, .com, search optimization, customer-relationship management.

Preferred Specialties/Area of Research:

  • Bayesian Analysis, Bayesian Decision Theory
  • Probabilistic Modeling and Computation
  • Machine Learning, including Deep Learning
  • Uncertainty Quantification
  • Optimization (global, local, stochastic methods)
  • Dynamic (state-space) Models (Kalman Filter, Data Assimilation)
  • Experimental Design
  • Model Reduction, Dimensionality Reduction

Preferred Experience with Analytical Tools/Applications:

  • Unix/Linux
  • Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive
  • Scientific Computing: R, Python, C++, Java, Scala
  • High-Performance Parallel and Distributing Computing
  • Deep Learning frameworks: Keras, Tensorflow
  • Data Visualization
  • Data Management Systems
  • Business Intelligence tools: such as KNIME, Tableau

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.

Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

 

Posted By

2 PG Plaza Cincinnati, OH, 45202



Company Information

P&G (Procter & Gamble) serves consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks®, and Whisper®. The P&G community includes operations in approximately 70 countries worldwide. Please visit our company website for the latest news and information about P&G and its brands.

Right from the start, you’ll see how our training and mentoring opportunities help our employees grow into world-class managers, professionals, and experts in their fields. Our success depends on our people. In fact, you’re our most important asset. We embrace who you are and help you hit the ground running on projects that align with your strengths and interests. Flexible working conditions enable you to integrate your personal interests into your work schedule – leading to optimal work/life effectiveness and creating the maximum impact on consumers every day.

Over 175 years of new ideas, innovative thinking, life-changing moments and making the best brands even better. Join us as we continue to Touch lives and improve everyday life now and for generations to come. P&G is known for building leaders and leading brands.

Dice Id : 50131813S
Position Id : 6404031
Originally Posted : 3 weeks ago

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