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Job Title: Optimization Data Scientist
Top Skills' Details
-production line optimization
-research optimization experience
-optimization packages (Gurobi, Cplex, LovalSolver)
-Experience frame the problem into the mathematical optimization solutions as this is the most important part of the framework process for him
-An excellent communicator who has previously worked with stakeholders and can articulate their findings
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 an Optimization Data Scientist to join our Global Data and Analytics organization. In this role reporting to the Senior Director, Data Science and Analytics, the Data Scientist will utilize mathematical optimization, machine learning techniques to glean patterns and opportunities in the manufacture and commercial operation. 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 Junior Data Scientist, you will be responsible for implementing an advanced analytics roadmap and leading data science engagements that deliver business value to improve efficiency for manufacturing production (schedule and process optimization, IoT related predictive maintenance machine learning model), Direct Store Delivery (DSD) operation (routing and warehouse optimization), and promotion/pricing strategy across KDP enterprise.
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 optimization and predictive models.
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 business teams.
* Recommend and oversee appropriate optimization, statistical and predictive modeling concepts, and recommendation algorithms to help optimize manufacture production line schedule and process, warehouse and delivery routing etc.
* 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
You will ideally have:
* Minimum of a BS or BA and preferably a MS and data analytics, operation research, engineering, mathematics, etc.
* Experience in deploying optimization and data science solutions in a business environment.
* Experience in a consulting environment with one of the major management consultancies.
* Deep knowledge of mathematical optimization (ideally have experience in manufacturing production schedule or process optimization solution development).
* 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 data science programming languages (Python, R, etc.) and optimization solvers (Gurobi, Cplex, LovalSolver)
* 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
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