Data Scientist

Walmart; Arkansas; On-site; USD 80,000 - 110,000; Full time

Job summary

A leading company is seeking a Data Scientist to support business case development, conduct data analysis, and mentor junior associates. The role requires strong expertise in machine learning, statistics, and programming languages like Python and C++. Candidates with a Master's or Bachelor's degree in Analytics or Engineering, along with relevant experience, are encouraged to apply.

Qualifications

• Master’s degree or equivalent in Analytics, Engineering, or related field.
• 2 years of experience in analytics if holding a Bachelor's degree.
• 4 years of experience in analytics or a related field.

Responsibilities

• Supports development of business cases and recommendations.
• Conducts exploratory data analysis and defines features for models.
• Mentors junior associates on basic modeling techniques.

Skills

Machine Learning

Deep Learning

Statistics

Data Visualization

Python

C++

Education

Master’s degree in Analytics

Bachelor’s degree in Analytics

Tools

Power BI

Tableau

Job description

What you'll do...

Position: Data Scientist

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

Duties: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Understands the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. 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. 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. 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. 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 and gives examples to demonstrate how the method would solve the business problem. Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.

Minimum education and experience required: Master’s degree or the equivalent in Analytics, Engineering, or related field; OR Bachelor’s degree or the equivalent in Analytics, Engineering, or related field plus 2 years of experience in analytics or a related field; OR 4 years of experience in analytics or a related field.

Skills Required: Must have experience with: coding in one of the following object-oriented programming languages: C++ or Python; Machine Learning and Deep Learning models, including CNN, Neural Networks and Bayesian Techniques; Statistics and Probability; performing data analysis and data collection using Python; identifying and applying metrics for measuring success and failure including F1, precision, recall and hypothesis testing; generating appropriate graphical representations of data and model outcomes; building scalable machine learning models for anomaly detection and Credit Risk; Data Visulaization in Python, Power BI or Tableau; AI Ethics, Model Fairness/Bias Monitoring; and Data and featuring engineering. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.

#LI-DNP #LI-DNI

Wal-Mart is an Equal Opportunity Employer.