Agility Partners is seeking a qualified Data Scientist to fill an open position with a leading grocer in the Cincinnati area.
Key Responsibilities
- Collaborate with solution architects, data scientists & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy
- Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)
- Design and develop machine learning and deep learning systems
- Run machine learning tests and experiments
- Implement appropriate ML algorithms
- Transform data science prototypes and apply appropriate ML algorithms and tools
- Document machine learning process
- Create data pipelines for various types of streaming use cases
- Focus on overall product’s data quality and user experience
- Build standards, processes and procedures to deliver best results
- Manage individual project priorities, deadlines, and deliverables
- Assist the scrum master in creating technical stories/spikes
- Adapt quickly to changing technology and business requirements
- Stay up to date on emerging technologies across Kroger and the industry
The Ideal Candidate
- Experience designing, building, and deploying scalable cloud-based solution architectures
- Experience working with public cloud platforms such as AWS, Azure. GCP
- Experience in MLOps, CI/CD, TDD/BDD
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Knowledge of containerization and container orchestration technologies.
- Good understanding and/or experience writing software in one or more languages, such as Python, Java, Go, JavaScript, C++, or similar
- Familiarity and good understanding of infrastructure – storage, networking etc.
- Strong analytical problem-solving skills
- Excellent written and verbal communication skills
- Self-starter takes the initiative and works well under pressure
- Business-minded approach to time, costs, and milestones
- Can work well within a matrixed team environment
- 5+ years’ experience as a Data Scientist/ML Engineer.
- High level of independence to develop and own toolkits, pipelines, models and dashboards.
BONUS POINTS
- Microsoft Certified: Azure Data Scientist Associate (DP-100)
- Experience with Azure Service Fabric, Azure Databricks, Power BI, Azure ML, Azure Synapse
- Experience with combinatorial optimization
- Experience with GitHub Functions
- Experience with SQL Server, SSIS, ETL/ELT, NoSQL, redis, ODS
- Experience working with Industry Standard Data Models such as ADRM, Common Data Model
- Experience in Domain Driven Design, microservices, Event Driven and Mesh App.
- Experience in Retail industry
Reasons to Love It
- If you have experience in an agile environment and a passion for using servant leadership to deliver amazing solutions, apply to be a part of our innovative culture built on the foundation of generations of success.
- Working for an organization that focuses on company culture, inclusion and diversity
- 50% medical coverage for you and your entire family, short/long term disability and life insurance options
- 401(k)
- Life Insurance
