What are the responsibilities and job description for the Associate Data Scientist position at Darden RSC?
JOB DESCRIPTION:
The Associate Data Scientist works with team to wrangle, model, interpret, and visualize large volumes of data. Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets. Performs data analysis through the use of various data-mining and statistical techniques in order to gain insights from data to support business priorities. Supports projects including forecasting, customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives.
ROLES AND RESPONSIBILITIES:
REQUIRED TECHNICAL SKILLS:
REQUIRED EDUCATION:
OTHER KEY QUALIFICATIONS:
PREFERRED SKILLS AND EXPERIENCE:
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The Associate Data Scientist works with team to wrangle, model, interpret, and visualize large volumes of data. Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets. Performs data analysis through the use of various data-mining and statistical techniques in order to gain insights from data to support business priorities. Supports projects including forecasting, customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives.
ROLES AND RESPONSIBILITIES:
- Wrangles large amounts of data from multiple sources
- Cleanses and prepares data for modeling and analysis
- Uses the correct data mining approach to solve each business problem
- Appropriately evaluates model results and iterates as necessary
- Consults on internal database(s) in collaboration with business partners (e.g., IT, Marketing) to ensure data quality
- Efficiently and accurately produces insights, visualizations, and data reports to meet the needs of business partners
REQUIRED TECHNICAL SKILLS:
- Advanced technical degree or 2 years' experience using data mining tools and advanced analytical methods in a business environment
- Proficiency with relational database systems
- Proficiency and proven experience with techniques in accurately joining large data sets from multiple sources and manipulating data to desired format
- Experience with data visualization
- Proficiency in a variety of statistical learning and machine learning techniques
- Strong analytical and problem solving skills with a solid understanding of business
- Experience in one or more statistical programming languages (R, Python)
REQUIRED EDUCATION:
- Bachelor's degree in Data Science, Statistics, Applied Mathematics, Business Analytics, Computer Science, Economics or a related field
OTHER KEY QUALIFICATIONS:
- Demonstrated ability and proven results exemplifying initiative, project management skills, and accuracy/detail-orientation
- Ability to work independently and with team
- Extremely curious about data
- Strong organizational and prioritization skills
- Strong written and verbal communication skills
- Desire to learn and improve data science skills
PREFERRED SKILLS AND EXPERIENCE:
- Knowledge and proficiency in R or Python
- Master's degree
- Demonstrated ability to summarize and present complex analytics to senior leadership
#LI-LE1
#LI-DNP
#LI-Hybrid