Job Description

What you'll do at

What you'll do...

Position: Staff Data Scientist

Job Location: 702 SW 8th Street, Bentonville, AR 72716

Duties: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Supports the understanding of the priority order of requirements & service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. 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 & 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. Identifies the model evaluation metrics. Applies best practice techniques for model testing & tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Generates appropriate graphical representations of data & model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers & 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 & leverages rational arguments. Guide & mentor junior associates on story types, structures, and techniques based on context. Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases & gives examples to demonstrate how the method would solve the business problem. Selects appropriate modeling techniques for complex problems with large scale, multiple structured & unstructured data sets. Selects & develops variables and features iteratively based on model responses in collaboration with the business. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Identifies dimensions & designs of experiments and creates test and learn frameworks. Interprets data to identify trends to go across future data sets. Creates continuous, online model learning along with iterative model enhancements. Develops newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets. Guides the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with unstructured & multiple data sets (for example, streaming data, raw text data). Deploys models to production. Continuously logs & tracks model behavior once it is deployed against the defined metrics. Identifies model parameters which may need modifications depending on scale of deployment. Code Writes code to develop the required solution & application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review & validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, & provides timely progress updates. Telecommuting / working from home is permissible.

Minimum education and experience required: Bachelor’s degree or the equivalent in Engineering, Statistics or related field plus 4 years of experience in analytics or related experience; OR Master’s degree or the equivalent in Engineering, Statistics 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 programming languages, preferably using Python, to extract and process data, develop machine learning models, and deploy optimization algorithms; coding in database languages like SQL to extract data from databases including GCP and Teradata; working with advanced Excel and VBA; knowledge on retail analytics, predictive analytics and forecasting tasks involving on-shelf availability, familiarity on replenishment and supply chain network analytics, A/B testing algorithms, product substitution, and product ranging; coding in statistical programming languages like R; automating end-to-end processes from database designs to ETL processes, model building, evaluation and report generation; working with multiple data visualization tools like Tableau, Python, R libraries, GGplot, Matplotlib, Plotly, and Power BI; patterns and trends in datasets to uncover insights; machine learning algorithms and data models to forecast outcomes; communication skills to deliver data-driven outcomes and recommendations to teams and senior leadership to support short-term and long-term strategies; and experience with software frameworks used to process big data including Hadoop, BigQuery and Apache Spark. Employer will accept any amount of experience with the required skills.

Salary Range: $133,099 to 220,000.  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.

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Wal-Mart is an Equal Opportunity Employer.

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