Data Scientist
Indexed description
Job Functions
- Drive Strategic Decision-Making through Customer Insights
- Analyze customer behavior across channels to identify trends, patterns, and opportunities for growth
- Develop and maintain customer segmentation and personas to support targeted strategies
- Work closely with CX Research team to synthesize both qualitative and quantitative data
- Provide insights into customer lifecycle dynamics, including acquisition, engagement, and retention
- Develop Advanced Analytics Solutions
- Design and deploy predictive models (forecasting, segmentation, optimization)
- Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets
- Apply statistical and machine learning techniques to solve complex business problems and improve targeting
- Enable AI-driven workflows and scalable decision-support tools
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Enable Loyalty Marketing & Growth Strategies
- Evaluate the performance and effectiveness of loyalty programs and promotional initiatives
- Measure customer engagement, program adoption, and incremental impact on spend and visits
- Generate recommendations to enhance program design and customer experience
- Improve Efficiency Through Automation
- Streamline and automate reporting and analytical workflows
- Work with data engineering to build scalable data products that reduce manual effort and improve speed to insight
- Support the creation and maintenance of a customer data platform to enable a unified customer view
- Identify opportunities to apply AI across both new and existing work
- Communicate Insights Clearly
- Develop a deep understanding of Love’s business, including products, customers, and performance drivers
- Create compelling visualizations and presentations for cross-functional stakeholders
- Deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allows for business understanding and action
- BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields
- 3+ years experience preferred in analytics, data science or related field
- Experience with data analysis, statistical modeling, or machine learning
- Proficiency querying data from relational databases using SQL
- Competency using R, Python, or other similar statistical software to develop analytical solutions
- Experience with data wrangling, data cleaning and prep
- Awareness of Big Data concepts, tools, and architecture
- Data modelling and business analytics experience
- Excel proficiency including simple formulas and pivot tables
- Understanding of data warehouse principles and database structures
- Ability to develop clear, impactful visualizations using Power BI, Tableau, or similar tools
- Experience applying AI tools to improve efficiency, automation, and analytical output
- Natural curiosity that welcomes and embraces change and willingness to try new things
- Excellent written, oral and interpersonal skills
- Ability to devise an analytical approach to solving business problems
- Expertise in translating data into business insights and recommendations
- Demonstrated ability to explain and simplify complex analytics for a wide range of audiences
- Work effectively within a team-oriented and collaborative environment
- Keen attention to detail
- Highly motivated self-starter
- Requires prolonged sitting, some bending and stooping
- Occasional lifting up to 25 pounds
- Manual dexterity sufficient to operate a computer keyboard and calculator
- Requires normal range of hearing and vision
- Travel required as needed
- On-call availability
Love's is an Equal Opportunity Employer. Veterans encouraged to apply.
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