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• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Jul 2023

Experience: 8+ years of experience

Note: Need strong candidates and should match all the requirements. Masters Degree or PHD required, Need profiles early.

Minimum Requirements:

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

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

• 2+ 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)

• 2+ 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)

• 2+ years programming skill in Python, 

• 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

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

• Plus: experience with Agile delivery; experience with CPG and/or retail industries

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

Data scientist 

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.

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

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

• 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

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

• 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