Senior Manager, Data Science

Walmart•Bentonville, AR

9h•$132,621 - $220,000•Onsite

About The Position

The Senior Manager, Data Science will be responsible for tech problem formulation, understanding business context, data source identification, and analytical modeling. This role involves analyzing business problems, identifying root causes, and recommending technology-focused solutions. The manager will develop business cases, translate business requirements into strategic projects, and serve as a liaison between business needs and tangible solutions. Responsibilities include identifying relevant business insights, defining data sources, performing data quality checks, and guiding junior associates. The role also requires selecting and developing appropriate modeling techniques for complex datasets, conducting exploratory data analysis, designing experiments, and creating frameworks for testing and learning. The Senior Manager will interpret data to identify trends, implement continuous model learning, and iteratively enhance models. This position supervises a team including a Staff Data Scientist, Data Scientist III, a Senior Data Scientist, and a Senior Manager of Advanced Analytics.

Requirements

Knowledge of Analytics/big data analytics / automation techniques and methods
Business understanding
Knowledge of Industry and environmental factors
Knowledge of Common business vernacular
Knowledge of Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices
Knowledge of Directly relevant business metrics and business areas
Knowledge of Functional business domain and scenarios
Knowledge of Categories of data and where it is held
Knowledge of Business data requirements
Knowledge of Database technologies and distributed datastores (e.g. SQL, NoSQL)
Knowledge of Data Quality
Knowledge of Existing business systems and processes, including the key drivers and measures of success
Knowledge of feature relevance and selection
Knowledge of Exploratory data analysis methods and techniques
Knowledge of Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.)
Knowledge of Multivariate calculus
Knowledge of Statistical models behind standard ML models
Knowledge of Advanced excel techniques
Knowledge of Programming languages like R/Python
Knowledge of Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent)
Knowledge of Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.)
Bachelor's degree or the equivalent in Computer Science, Statistics, Analytics or related field plus 5 years of progressively responsible post-baccalaureate experience in analytics or related area; OR Master's degree or the equivalent in Computer Science, Statistics, Analytics or related field plus 3 years of experience in analytics or related area.
Experience analyzing large-scale and high-dimensional datasets to discover insights (SAS, Python, Excel)
Experience integrating and preparing large, varied datasets using SQL on cloud platform (AWS) and On Prem databases
Experience building and maintaining predictive machine learning and deep learning models using statistical algorithms like Regression, Decision Trees, Ensemble methods, Segmentation, Clustering (SAS, Python, R)
Experience identifying target audience using analytic models and segmentation techniques (SAS, Python)
Experience developing experimental design approaches to validate findings and test hypothesis
Experience measuring effectiveness of trial elements using A/B and Multivariate testing
Experience assigning attribution and measuring ROI of marketing activities
Experience building interactive and impactful dashboards using Tableau and Excel
Cross-functional collaboration to gain an understanding of business problems and opportunities
Managing external vendors to deliver critical advanced analytics projects
Presenting actionable insights using data and analytics to non-technical audience

Responsibilities

Analyze business problems within one's discipline and question assumptions to help the business identify the root cause.
Identify and recommend approaches to resolve business problems and create effective technology-focused solutions.
Set relevant deliverables based on established success criteria and define key metrics to measure progress and effectiveness of the solution.
Quantify business impact.
Provide recommendations to business stakeholders to solve complex business issues.
Develop business cases for projects with a projected return on investment or cost savings.
Translate business requirements into projects, activities, and tasks aligned with overall business strategy.
Serve as an interpreter and conduit to connect business needs with tangible solutions and results.
Identify and recommend relevant business insights pertaining to their area of work.
Understand the priority order of requirements and service level agreements.
Define and identify the most suitable sources for required data that is fit for purpose, referring to external sources as required.
Perform initial data quality checks on the extracted data.
Review the deliverables of junior associates and provide guidance on data source and quality.
Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
Select and develop variables and features iteratively based on model responses in collaboration with the business.
Conduct exploratory data analysis activities (e.g., basic statistical analysis, hypothesis testing, statistical inferences) on available data.
Identify dimensions and designs of experiments and create test and learn frameworks.
Interpret data to identify trends to go across future data sets.
Create continuous, online model learning along with iterative model enhancements.
Supervise Staff Data Scientist, Data Scientist III, Senior Data Scientist, and Senior Manager, Advanced Analytics.