Senior Data Scientist, Optimization, I&A
Employment Type : Full-Time
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Basic Purpose
The Senior Data Scientist, Insights and Analytics, is an optimization specialist responsible for consistently providing high quality and insightful data driven solutions that address key business questions within the Supply Chain domain (Warehouse, Logistics, and Replenishment). This role supports the business, product owner, and other members of the Insights and Analytics team as required to design and create datasets, reports, and analytical tools by leveraging existing data sources. Will evaluate requests, determine data requirements, and identify innovative python based open sourced methods to provide effective data solutions that fulfill the needs of the business problems. In addition, this role will also leverage their familiarity with cloud-based technologies and other emerging capabilities to recommend optimal solutions through experimentation/test and learn approaches.Essential Duties and Responsibilities
Analytics and Solution Development
- Lead collaboration and understanding of business problems with business partners
- Develop solutions and tools to create sustainable programs and solutions for business partners
- Maintain a thorough understanding of available data elements, their organizational structure, and their impact to the business and technical infrastructure within which they reside
- Serve as Subject Matter Expert on all assigned business function’s related data sources
- Derives and codes new variables for use in data analysis and reports development
- Integrates and standardizes data sets from multiple internal and external data sources
- Prepares complex data sets for use in advanced analytics (in design and testing of statistical models and complex measurement)
Tools and Reports Development
- Executes complex data mining; oversees set up of data tables from multiple data sources
- Provide thought leadership in areas of tools and reports development. Create ad hoc and regular reports to meet business needs.
- Lead development of tools and reports for end users, including developing requirements, reviewing user stories, evaluating IT development progress, managing User Acceptance Testing, and training end users
- Serve as a ‘Power User’ of custom and 3rd party applications, advanced querying and complex data aggregations and analyses not supported by a single application
- Collaborate with IT, consultants, and end users
- Serve as Subject Matter Expert (SME) of applicable tools, databases and systems
- Proactively validates results and identifies anomalies within the data. Conducts root cause analysis to understand cause of anomalies; identifies and implements solutions to overcome obstacles to data inaccuracy.
- Applies a strong understanding of data tables (including validity of values) and methodology, coupled with an expert understanding of the assigned business function’s business need in order to provide quick, accurate, and relevant data solutions to functional requests.
- Utilizes standard methodology in capturing data, documenting processes, labeling data, and formatting results to suit the needs of the business.
- Develops short-cut dashboards and other innovative reporting tools in a user friendly format, capable of presenting summarized data with drill down capabilities on an on-going basis.
- Interprets algorithms into code for automated use
Strategy, Process and Tools
- Identify and develop analytics to support and measure strategies for business partners
- Influence and evangelize analytical methodologies to support business partners’ needs
- Identify opportunities to standardize processes through analytics and tools
- Support integration of strategies, analytics, processes, and tools
- Develop and refine core best practices to enhance the influence of Insights & Analytics across the organization
- Serve as SME on processes and tools
Travel
Available for occasional travel as business requires (less than 5% of time)
Supervision
Direct supervision of up to 3 Data Scientists or Associate Data Scientists
Relationships
- Reports directly to Sr. Director, Insights & Analysts
- Works closely with:
- Assigned business function (e.g. Replenishment organization in Rosemont and Field; Replenishment Business Analysis Team)
- Decision Sciences Team
- Insights and Analytics Team
- Mentors Analysts at the direction of Direct Supervisor
- Interacts occasionally with:
- Senior management (SVPs, VPs, Directors)
- IT (Business Analysts)
Qualifications
Education / Training
- Bachelor’s degree in Information Technology, Computer Science, Mathematics, Engineering or comparable technology related field
Related Experience
- 5+ years demonstrated successful experience in data science, data analysis, data solutions, or related business data analysis roles
- 5+ years demonstrated successful experience with database design, data warehouse/data mining, and reporting out of enterprise applications (e.g., Oracle)
- 5+ years demonstrated successful experience in analytical roles
- 5+ years demonstrated successful experience in food distribution, retail, CPG, or related industries
Knowledge / Skills / Abilities
- Business Strategy and Analytics
- Excellent business acumen
- Excellent data manipulation and analysis skills
- Ability to think logically and analytically
- Detail oriented
- Able to take complex, ambiguous problems, break them down into smaller parts and problem solve to come up with a whole, integrated and strategic solution
- Creative problem solver
- Exposure to statistical methodologies; well-versed in basic statistical approaches
- Self-direction and Team Work
- High degree of motivation
- Ability to work independently and within a team
- Ability to build consensus and lead work streams
- Highly organized with the ability to multitask and prioritize workloads
- Communication
- Excellent verbal and written communication skills
- Strong presentation skills
- Ability to communicate complex concepts clearly
- Ability to influence change within complex organizations
- Ability to relate to others
- Advanced knowledge of information visualization best practices and strategies
- Proficiency in the following required:
- MS Office Suite, including:
- Microsoft Outlook
- Microsoft Excel (e.g., pivot tables; slicer; vlookup, hlookup; formulas; if then statements)
- Microsoft PowerPoint (e.g., update presentations; create graphs, tables and other data visualization techniques)
- Microsoft Word
- Data querying methodologies and languages (e.g., SQL)
- Coding using open source technology (e.g., Python, R)
- Cloud-based data warehouse environments (e.g., Amazon Web Services, Snowflake/Redshift)
- Other data mining and preparations tools (e.g., Alteryx, Talend)
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