Full-Time

Applied Data Science Manager

Posted on 4/12/2024

dunnhumby

dunnhumby

1,001-5,000 employees

Customer Science Platform with data-driven marketing

Consulting
Consumer Goods

Junior

Cincinnati, OH, USA

Required Skills
Power BI
Python
Data Science
Data Structures & Algorithms
Apache Spark
SQL
Tableau
Pandas
NumPy
Data Analysis
Requirements
  • Bachelor's degree in Mathematics, Economics, Applied Statistics, Computer Science, Physics, Engineering, or a related field
  • 2 years of experience in managing a team of junior data scientists in ad-hoc projects, including project scope, methodology, deliverables, and client utilization
  • 2 years of experience in Retail Consulting with a focus on Consumer Package Goods
  • 2 years of experience in Data Science and Retail Consulting role
  • 2 years of experience in researching, designing, and deploying various forms of statistical models and machine learning applications, including the use of multiple techniques across classification, regression, and clustering
  • 2 years of experience in programming in Spark, SQL, and Python
  • 2 years of experience in Python Science packages: Sklearn, Scikit-Learn, Numpy, Pandas, Sympy
  • 2 years of experience in data visualization skills in Power BI, Voila, Tableau, and Excel
  • 2 years of experience in working with very large and unstructured datasets (100M+ records)
  • 2 years of experience in customer analytics in a retail or CPG environment, solving real-world business problems
  • 2 years of experience in Quality Assurance and Testing (Development and Production)
  • 2 years of experience in applying specific knowledge of Price Investment Models, Customers Shopping Habits Clustering, Promotion Effectiveness Analyses, Customer Churn Prediction Models, A/B Testing, Offer Pool Building, Product Relevancy, Targeted Communications, Category Adjacencies Tools, Price Sensitivity Segmentation, Customer Shopping Mission Clustering, Shelf Out Of Stock detection
Responsibilities
  • Develop an annual client work plan tailored to their business needs and overarching business strategy
  • Manage and allocate resources and people to maximize productivity and deliver measurable and timely results
  • Build strong relationships with internal contacts & external clients to ensure a full understanding of client challenges, their growth strategy, and agreed measures of success for the project
  • Promote a culture of re-use of dunnhumby science, modules, and code lines over re-invention, utilizing the most appropriate tool for project delivery
  • Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery
  • Transform complex problems into compelling insights for clients, aligning it with their growth strategy and influencing them toward action
  • Spot opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision-making and call to action
  • Participate in client meetings to present methodology and solutions through effective storytelling techniques and help influence client decision making
  • Provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become a global offering
  • Own the design, delivery, and IP of market solutions and products, managing the life-cycle of all versions of the local product from inception, design, build, test, and deployment for a local client
  • Ensure the team is following dunnhumby Quality Assurance processes, ways of working, and coding standards
  • Hire, mentor, motivate and retain a strong team of applied data scientists who live the dunnhumby values
  • Manage risk effectively, provide visible and consistent leadership on Values and Code of Business Conduct and act where you see issues
  • Protect the team by ensuring they have the skills and training needed, including completing Service Level Specification (SLS)

dunnhumby offers a Customer Science Platform that leverages data analytics and customer insights to drive personalized marketing strategies for retailers and brands. The platform likely integrates data analytics, machine learning, and personalized marketing tools to deliver actionable insights and targeted marketing solutions.

Company Stage

Acquired

Total Funding

N/A

Headquarters

, United Kingdom

Founded

1989

Growth & Insights
Headcount

6 month growth

3%

1 year growth

7%

2 year growth

2%