Senior Data Scientist (P4528)

8451 • Chicago, OH

10h • Onsite

About The Position

The SCORe team is seeking a Senior Data Scientist to support supply chain & retail operations workstreams, focusing on machine learning, optimization, and simulation sciences. The ideal candidate will possess strong business acumen in the supply chain & retail operations industry and be familiar with 84.51° and Kroger operations. This role combines technical and research skills with a deep understanding of business operations and most closely aligns with a Machine Learning Engineering (MLE) and/or Statistical Learning (SL) role.

Requirements

• Bachelor's degree in mathematics, statistics, analytics, data science, or a related discipline.
• 2+ years of experience in consulting or professional services, with at least 2 years focused on retail operations and supply chains.
• 2+ years of experience using advanced algorithms, programming languages, or technologies to develop technical analytics solutions or capabilities.
• 2+ years experience developing and implementing enterprise-scale machine learning and/or optimization models.
• 2+ years of experience developing and implementing on cloud solutions (Azure, Databricks, etc.)
• Proficiency in querying data from relational databases.
• Experience using Python, or similar statistical software to develop analytical solutions.
• Expertise in data wrangling, data cleaning and preparation, and dimensionality reduction.
• Familiarity with Big Data concepts, tools, and architecture.
• Ability to create computationally efficient solutions.
• Data visualization skills and the ability to present technical solutions to a non-technical audience.
• Strong analytical, creative problem-solving, and decision-making skills.
• Passionate about data, analysis, and insights.
• Natural curiosity that embraces change and a willingness to try new things and learn from failure.
• Ability to work in a highly collaborative environment.

Nice To Haves

• Strong business acumen; grocery and/or retail experience is a plus.

Responsibilities

• Lead the development and delivery of analytical plans to support client roadmaps, ensuring the adoption of best practices and innovative ideas.
• Scope and manage projects from inception to completion, ensuring timely delivery to specifications.
• Develop and support MLOPs for production sciences.
• Research and implement Optimization models to improve supply chain and retail operations.
• Collaborate with stakeholders to understand client objectives and customer insights, designing best-in-class solutions.
• Transition project work from discovery to pre-production using the latest tech stack.
• Partner with engineering, product, and research teams to implement best practices for analysis, storage, and quality assurance.
• Implement software solutions using best practices of coding standards and quality assurance with regards to maintainability and testing.
• Experiment with innovative machine learning methods and conduct analytic experiments to support project development and business objectives; share findings with the team.
• Identify opportunities for standardization and automation of existing solutions/processes, contributing to enhancements that maximize team potential and stakeholder value.
• Interpret business results and develop actionable recommendations from data analysis to build relevant customer stories for stakeholders.
• Contribute to and maintain SCORe documentation.
• Challenge and improve 84.51° analytic capabilities, solutions, and best practices.
• Follow best practices in space/resource management to ensure efficient utilization of analytic resources and timely delivery of business deliverables.
• Partner with leaders across projects to prioritize work, identify risks and opportunities, and streamline team execution.
• Support the near real-time science delivery of optimization models.
• Lead in upskilling the data science function in new and emerging technologies through trainings, learning pathways, and documentation.
• Support implementation and participate in training plans for the DSR function.
• Deliver enterprise-wide model results in near real-time.
• Possess data engineering experience related to manipulating and moving large data sets efficiently.

Benefits

• Health: Medical: with competitive plan designs and support for self-care, wellness and mental health.
• Dental: with in-network and out-of-network benefit.
• Vision: with in-network and out-of-network benefit.
• Wealth: 401(k) with Roth option and matching contribution.
• Health Savings Account with matching contribution (requires participation in qualifying medical plan).
• AD&D and supplemental insurance options to help ensure additional protection for you.
• Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
• Paid leave for maternity, paternity and family care instances.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level