What you’ll do at
What you’ll do…
Position: Senior Manager I, Data Science
Job Location: 125 S Clark Street, Chicago, IL 60603
Duties: Data Source Identification: Supports the understanding of the priority order of requirements and
service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs
initial data quality checks on extracted data. Applied Business Acumen: Provides recommendations to
business stakeholders to solve complex business issues. Develops business cases for projects with a
projected return on investment or cost savings. Translates business requirements into projects, activities,
and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business
needs with tangible solutions and results. Recommends new processes and ways of working. Problem
Formulation: Analyzes the business problem within one’s discipline and questions assumptions to help the
business identify the root cause. Identifies and recommends approach to resolve the business problem.
Sets data analytics, big data analytics, automation goals, and deliverables based on the established
success criteria and define key metrics to measure progress and effectiveness of the solution. Quantifies
business impact. Analytical Modeling: Selects the analytical modeling technique most suitable for the
structured, complex data and develops custom analytical models. Conducts exploratory data analysis
activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.
Defines and finalizes features based on model responses and introduces new or revised features to
enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests
hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical
business problems and provide recommendations and key insights to the business. Mentors and guides
junior associates on basic modeling and analytics techniques to solve complex problems. Model
Assessment & Validation: Identifies the model evaluation metrics. Applies best practice techniques for
model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model
ensembles. Model Deployment & Scaling: Supports efforts to ensure that analytical models and techniques
used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability
and sustainability of analytical models. Code Development & Testing: Writes code to develop the required
solution and application features by using the recommended programming language and leveraging
business, technical, and data requirements. Test the code using the recommended testing approach. Data
Visualization: Generates appropriate graphical representations of data and model outcomes. Understands
customer requirements to design appropriate data representation for multiple data sets. Work with User
Experience designers and User Interface engineers as required to build front end applications. Presents to
and influences the team and business audience using the appropriate frameworks and conveys clear
messages through business and stakeholder understanding. Customize communication style based on
stakeholder under guidance and leverages rational arguments. Guide and mentor junior associates on
story types, structures, and techniques based on context. Data Strategy: Understands, articulates, and
applies principles of the defined strategy to routine business problems that involve a single function. Drives
the execution of multiple business plans and projects by identifying customer and operational needs;
developing and communicating business plans and priorities; removing barriers and obstacles that impact
performance; providing resources; identifying performance standards; measuring progress and adjusting
performance; accordingly, developing contingency plans; and demonstrating adaptability and supporting
continuous learning. Supervises 2. Telecommuting / working from home is permissible.
Minimum education and experience required: Bachelor’s degree or the equivalent in Statistics, Analytics,
Computer Science, Engineering, or related field plus 4 years of experience in analytics or related
experience; OR Master’s degree or the equivalent in Statistics, Analytics, Computer Science, Engineering,
or related field plus 2 years of experience in analytics or related experience; OR 6 years of experience in
analytics or related experience.
Skills required: Must have experience with: Coding in an object-oriented programming language (Python);
Performing descriptive statistical analysis in a statistical programming language (R, Python, Excel);
Developing inferential statistics insights on business data to prove or disprove hypotheses in a statistical
programming language (R, Python); Querying relational databases like Teradata, Bigquery using Structured
Query Language (SQL) to download data for analysis in the most efficient manner; Performing explorative
data analysis (EDA) on transactional, demographic, clickstream and macro-economic datasets to develop
hypotheses for statistical modeling in statistical modeling languages (R, Python, Excel); Performing data
manipulation tasks like datatype corrections, dataset merging, dataset transposing, replacing missing
values, renaming, creating new variables, etc. to prepare the dataset for statistical modeling or statistical
analysis; Developing code for data visualization tasks to convey key insights and findings from statistical
analyses in a statistical programming language (R, Python); Developing and Communicating business
analysis like sales trend analysis, year-over-year change analysis, relative comparison analysis, etc. on
business data; Developing parametric, supervised machine learning models like linear regression, logistic
regression, neural networks, lasso & ridge regression, regression trees, etc. to model customer behavior
used to make predictions on future customer behavior or business sales forecast; Developing nonparametric,
supervised machine learning models like classification regression trees, random forests,
gradient boosting decision trees, k-nearest neighbors, etc. to model more complex, multi-variate customer
behavior used to make predictions on future customer behavior or business sales forecast; Developing
unsupervised machine learning models like k-means clustering, agglomerative & hierarchical clustering,
mean-shift clustering, principal components analysis, etc. to find patterns in data even without a label to
indicate outcome; Developing code to monitor, control and optimize the performance of machine learning
models to avoid any under/over fitting and to ensure bias-variance is optimal, in Python; Developing and
automating pipelines to seamlessly integrate various sections of a machine learning model from data
collection to producing predictions, along with quality-control modules to monitor any errors, using tools like
Docker, Kubernetes and Airflow; Developing measurement modules like A/B testing using R, Python;
Developing power point presentations for internal business partners or external clients to communicate the
results and insights of a statistical or business analysis or a machine learning model; and People
Management. Employer will accept any amount of experience with the required skills.
Salary Range: $193,419 to 216,000/year. Additional compensation includes annual or quarterly
performance incentives. Additional compensation for certain positions may also include: Regional Pay
Zone (RPZ) (based on location) and Stock equity incentives
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other
great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental
coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off
benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
Other benefits include short-term and long-term disability, education assistance with 100% company
paid college degrees, company discounts, military service pay, adoption expense reimbursement, and
more.
Eligibility requirements apply to some benefits and may depend on your job classification and length of
employment. Benefits are subject to change and may be subject to a specific plan or program terms. For
information about benefits and eligibility, see One.Walmart.com.
#LI-DNP #LI-DNI
Wal-Mart is an Equal Opportunity Employer.
About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
All the benefits you need for you and your family
- Multiple health plan options, including vision & dental plans for you & dependents
- Financial benefits including 401(k), stock purchase plans, life insurance and more
- Associate discounts in-store and online
- Education assistance for Associate and dependents
- Parental Leave
- Pay during military service
- Paid Time off – to include vacation, sick, parental
- Short-term and long-term disability for when you can’t work because of injury, illness, or childbirth
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.
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