Data Scientist

The Enterprise Data organization drives value for Hershey by providing high-quality, well governed data to the Enterprise for analytics and decision-making.

The Data Scientist will be part of the Enterprise Data Science team, working with Hershey business partners, technical engineers, data architects, and project managers to ensure data science standards adhere to company best practice and help to deliver rapid impactful benefits. You will act as a trusted advisor for Hershey business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes.

Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.

Specific Job Responsibilities:

• Lead and coordinate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning

• As part of a team, use machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems

• Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate

• Demonstrate understanding of forecasting, optimization, statistical analysis, and operations research. Extensive knowledge of forecasting techniques such as trend analysis, econometric models and machine learning is preferred

• Design, develop and evaluate highly innovative models for predictive learning, content ranking, and anomaly detection

• Analyze and extract relevant information from historical data to help automate and optimize key processes

• Work closely with technology, business, and engineering teams to drive model implementations and adoption of new algorithms

• Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies

• Consult project leadership to understand projects’ needs/requirements to recommend opportunities and identify gaps to ensure clean and rapid project delivery

• Strategic thinker with holistic vision, specific focus on automation of existing processes to drive key business performance

• Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers

 

Minimum Education and Experience Requirements: 

Education:

• Bachelor’s in a STEM degree

• Master’s degree and/or related equivalent experience preferred

Experience:

• 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning

• 2+ years of data engineering experience with large-scale data storage processing architectures (Hadoop, SQL, HIVE, Spark/SparkR, etc.)

• 2+ years of experience working with cloud-based analytical systems (e.g., AWS, Azure, Google Cloud)

• Advanced working knowledge and experience with data science and relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions and Hadoop

• Experience with major machine learning/deep learning frameworks (e.g., Scikit-learn, TensorFlow and Keras)

• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

• Ability to communicate complex ideas in a clear, precise, and actionable manner

• Experience working in a high performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align to business partner strategy

• Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners