Director, Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What you'll do...

Data Source Identification: Understands the priority order of requirements and service level agreements. Defines and identifies the most suitable sources for required data that is fit for purpose, referring to external sources as required. Performs initial data quality checks on the extracted data. Reviews the deliverables of junior associates and provides guidance.
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.
Applied Business Acumen: Evaluates proposed business cases for projects and initiatives. Influences business stakeholder decision making. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives and drives the execution of deliverables. Builds and articulates the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Develops new organization-wide processes and ways of working. Teaches and guides others on best practices. Proactively engages in the external community to build Walmart's brand and learn more about industry practices.
Data Strategy: Understands, articulates, interprets, and applies principles of the defined strategy to complex business problems. Leverages experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.
Analytical Modeling: Selects appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Selects and 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 and 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 and multiple data sets (for example, streaming data, raw text data).
Model Assessment & Validation: Identifies and reviews model evaluation metrics based on analytical requirements. Applies suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensures testing information is documented and maintained by the team.
Data Visualization: Identifies and recommends the most suitable visualization tools based on context. Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications. Defines application design based on customer requirements. Builds compelling stories based on context to integrate multiple pieces of information into cohesive insights. Presents to and influences diverse audiences using the appropriate frameworks and conveys clear messages through deep business and stakeholder understanding. Customizes communication style based on stakeholders and leverages relationships to drive behavioral change. Guides and mentors junior associates on story types, structures, and techniques based on context.
Model Deployment & Scaling: Deploys models or model ensembles and ensures sustainability and maintenance overtime. Implements model monitoring and model life-cycle management practices. Assists in creation of innovative user interfaces and supports the use of models through collaboration with key stakeholders.
Code Development & Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and 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, and provides timely progress updates.
Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent.
Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into allprograms and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.
Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leadingkey community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriatebusiness plans and initiatives; and supporting associate efforts in these areas.
Live our Values
Culture Champion
• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart’s commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadership
• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent
Embrace Change
Curiosity & Courage
• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change
• Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart’s business model.
Deliver for the Customer
Customer Focus
• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans and initiatives.
Strategic Thinking
• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.
Focus on our Associates
Diversity, Equity & Inclusion
• Supports strategies and drives initiatives that attract and retain diverse and inclusive talent; builds high-performing teams; embraces diversity in all its forms; and actively supports diversity goal programs.
Collaboration & Influence
• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Management
• Creates a discipline and focus around developing talent, builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others’ contributions and accomplishments.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America