Job Location:  Hershey, PA

 

 

Job Summary:

 

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

 

The Sr. Data Scientist will be part of an agile execution 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.

 

The Sr. Data Scientist 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.

 

Major Duties/Responsibilities: 

 

Data Science Solution Delivery:

 

Contribute to the agile delivery of business partner strategic roadmaps using best practice data science methods, frameworks, and governance processes.

Data Science Domain:

 

Collaborate with IT and business partners to define, manage and deliver innovative data science solutions to drive growth and adoption of capabilities at Hershey.

 

Data Science Advocacy:

 

Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: 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 vison, 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 knowledge, skills and abilities required to successfully perform major duties/responsibilities:

 

• Working knowledge of agile frameworks.
• Ability to manage multiple priorities, meet deadlines and produce quality results under pressure.
• Demonstrated leadership and managerial skills.
• Strong problem solving and analytical skills.
• Strong team player, change agent, and advocate.
• Excellent customer service skills.
• High energy self-starter.
• Excellent verbal and written communication skills.

 

 

Minimum Education and Experience Requirements: 

 

Education:

 

• Master’s in a STEM degree required, Ph.D. considered.

 

Experience:

 

• 3-5+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.

• 3+ years – using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
• 3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
• 3+ years programming skill in Python, R, Scala or Java.
• Working knowledge with modern cloud-based data storage and compute environments (e.g., Snowflake, Databricks in Azure, AI-platform in GCP, etc.).
• Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
• Experience working in a agile delivery model a plus.
• 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.
• Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
• PowerBI experience a plus.

 

 

 

 

#LI-SS1

 

 

 

 

 

 

 

 

The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.

The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans

If you require a reasonable accommodation as part of the application process, please contact the HR Service Center ([email protected]).