Staff Data Scientist

What you'll do...

Position: Staff Data Scientist

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Conduct exploratory data analysis activities 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. Develop newer techniques by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets. Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Deploy models to production. Continuously log and track model behavior once it is deployed against the defined metrics. Identify model parameters which may need modifications depending on scale of deployment. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Translate and co-own business problems within one's discipline to data science related or mathematical solutions. Identify appropriate methods and tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. 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 and aligns to overall business strategy and develops domain specific artifact. 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. Support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. 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. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments. Understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any) or related field and 2 years of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any) or related field and 4 years of experience in an analytics related field.

Skills required: Experience designing, training, finetuning, and deploying Deep Learning Neural Networks. Experience with performing dataset curation, augmentation, collection, evaluation, tracking, and updating training data. Experience programming with Python and C++ for Machine Learning (ML) and Computer Vision (CV) systems, including the use of object-oriented programming languages. Experience performing image classification, object detection, and segmentation using statistical methods, probability distributions, and Machine Learning (ML) models. Experience with Machine Learning Frameworks, including PyTorch and TensorFlow. Experience with version control using Git and participating in code reviews. Experience designing privacy, compliance, and delivery tooling, including data-privacy pipelines and CI/CD workflows (Jenkins). Experience contributing to research and internal knowledge by presenting findings on computer vision models including researching and implementing methods to support large-scale data varieties such as metadata models. Experience performing evaluation, identifying, and tackling possible failures of current solutions, and designing and implementing machine learning and traditional algorithms to support automated inventory management and compliance. Experience processing 3D data (3D scans, meshes, and point clouds), including reconstruction using both neural network–based and classical geometry-based methods. Experience collaborating across teams to identify potential issues, improve existing solutions, and support teams through Proof-of-Concept (PoC) and Proof-of-Value (PoV) stages. Employer will accept any amount of experience with the required skills.

Salary Range: $172,170/year to $286,000/year. Additional compensation includes annual or quarterly performance 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.

Wal-Mart is an Equal Opportunity Employer.

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