Principal Data Scientist

Key Skills

Python Programming, SQL, Azure, AWS, Apache Hadoop, Machine learning techniques, Apache Hive, MapReduce, Apache Pig, Snowflake, Google Cloud Platform (GCP), R Programming, Algorithms, Clustering, Data Classification, SPARK Programming, SAS, Statistical modeling, Recommendation Systems, SPSS Statistics, Predictive Modeling

Job Description

At Keurig Dr Pepper, we are quickly growing and expanding our capabilities around data science, data engineering and data operationalization to create a competitive advantage for our diverse business. We are looking for a Principal Data Scientist to join our Global Data and Analytics organization. In this role reporting to the Senior manager, Global Data Science and Analytics, the data scientist will utilize statistical learning, and econometric techniques to glean patterns and opportunities in the Direct Store Delivery (DSD), shopper and consumer landscape. Data scientists at KDP are trained to be technical, operational and industry business leaders, acting as critical members of our business teams, helping to achieve above average incremental growth.

As a Principal Data Scientist, you will be responsible for executing an advanced analytics roadmap and leading data science engagements that deliver business value to drive sales growth across the DSD network and supply chain. DSD is the largest of Keurig Dr Pepper's operating segments and will be a key part of our future strategic growth. DSD is committed to the continued use of advanced analytics to better inform sales teams to understand and predict future opportunities for growth across the DSD network.

You will act as both a strategic and technical leader whose purpose is to improve KDP's overall business performance through the analysis of data, development and deployment of predictive models, and the discovery of insights about our shoppers, customers, partners and competitors. In the short-term, you will help the DSD transformation team better understand their current customer base, sales channels, and competitor behavior so that DSD can optimize the current order process, improve and enhance order quality, predict future customer needs and demands.

What you will do:

• Align and embed with business leadership to oversee data science projects through the project lifecycle, from scoping through to implementation.
• You will be a hands-on leader, overseeing data exploration and analysis techniques to examine with the goal of improving customer understanding and providing a competitive advantage for Keurig Dr Pepper's DSD and supply chain business teams.
• Recommend and oversee appropriate statistical and predictive modeling concepts, clustering and classification techniques, and recommendation algorithms to help optimize customer targeting, reduce churn, and increase customer life-time-value.
• Ensure data and code integrity by conducting documentation and code reviews.
• Translate and break apart day-to-day business challenges into manageable segments for data science application.
• Navigate many multi-functional stakeholders and communicate technical results effectively to non-technical audiences.
• Work closely across the Global Data and Analytics organization including: Analytics Platform, Data Engineering, Data Governance and Data Product resources to help facilitate a collaborative, data science focused agenda.
• Implement strategic analyses with the know-how to balance getting the details right, while still moving at the speed of business.
• Help to create and develop a replicable Advanced Analytics roadmap that can be deployed across KDP DSD enterprise.

Requirements

• Minimum of a MS and preferably a Ph.D. and minimum 3 years of experience, data analytics, sales, consumer marketing, or another related field.
• 3+ years of experience in deploying data science in a business environment.
• Experience in a consulting environment with one of the major management consultancies.
• Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
• Extensive experience with one or more statistical analysis and scripting tools (e.g., SPSS, SAS) and languages (Python, R, etc.)
• Experience with data extraction from SQL databases
• Experience with Big Data technologies (e.g. Spark, Hadoop: MapReduce, Hive and Pig)
• Experience with cloud-based platforms and technologies (Snowflake, GCP, Azure, AWS)
• Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
• Possess excellent oral and written communication skills
• Highly detail-oriented and organized
• Possess strong business and financial acumen

Benefits built for you: Our people are the heart of our business, which is why we offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development while ensuring you feel valued, inspired and appreciated at work.

Keurig Dr Pepper Inc. is an equal opportunity employer and affirmatively seeks diversity in its workforce. Keurig Dr Pepper Inc. recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.