Sr. Data Scientist - Statistics

Master’s in a STEM degree required, Ph.D. preferred 5+ years of Data Scientist - Statistics professional experience with applying quantitative research in optimizing business decisions using technologies like Machine Learning and Deep Learning 5+ years – using major Machine Learning and 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 extensive experience with tech stacks ike Python; R for statistics; databricks; Snowflake Demonstrated expertise in various Statistical areas like Linear Mixed Effects models (LME); Analysis of Variance (ANOVA); experimental design; Generalized Linear Models (GLM) Experience with AGILE Delivery; experience with Consumer Packaged Goods (CPG) and / or RETAIL Industries. 5+ years of strong skills in Data Science Solution Delivery, Data Science Domain and Data Science Advocacy: 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. Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners The Enterprise Data Science organization drives value for us by creating disruptive predictive and prescriptive solutions to the Enterprise for analytics and decision-making. The Sr. Data Scientist will be working with our 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 our 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. 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 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 Job Type: Full-time Pay: $104,493.42 - $202,231.75 per year Benefits: Health insurance Schedule: 8 hour shift Supplemental Pay: Signing bonus Experience: Python: 1 year (Preferred) SQL: 1 year (Preferred) Work Location: Remote