DIRECTOR, DATA SCIENCE

Position Summary... 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 all programs 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 leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.

What youll do... Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To analyze the business problem within ones discipline and questions assumptions to help the business identify the root cause Identify and recommend approach to resolve the business problem to create effective technology focused solutions Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantify business impact Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices Directly relevant business metrics and business areas To evaluate proposed business cases for projects and initiatives Translate business requirements into strategies initiatives and projects and aligns them to business strategy and objectives and drives the execution of deliverables Build and articulate the business case and return on investment and delivers work that has demonstrable value Challenge business assumptions on topics related to ones domain expertise Mentor the team members on new business insights and allied developments Proactively engage in the external community to build Walmarts brand and learn more about industry practices Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To understand the priority order of requirements and service level agreements Define and identify the most suitable sources for required data that is fit for purpose referring to external sources as required Perform initial data quality checks on the extracted data Review the deliverables of junior associates and provides guidance on data source and quality Analytical Modeling Requires knowledge of feature relevance and selection Exploratory data analysis methods and techniques Advanced statistical methods and bestpractice advanced modelling techniques eg graphical models Bayesian inference basic level of NLP Vision neural networks SVM Random Forest etc Multivariate calculus Statistical models behind standard ML models Advanced excel techniques and Programming languages like RPython Basic classical optimization techniques eg NewtonRapson methods Gradient descent Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc To 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 Conducts exploratory data analysis activities for example basic statistical analysis hypothesis tes Model Assessment and Validation Requires knowledge of model fit testing tuning and validation techniques eg Chi square ROC curve root mean square error etc Impact of variables and features on model performance To identify and review model evaluation metrics based on analytical requirements Apply suitable techniques for model testing and tuning to assess accuracy fit validity and robustness Ensure testing information is documented and maintained by the team Model Deployment and Scaling Requires knowledge of impact of variables and features on model performance understanding of servers model formats to store models To deploy models or model ensemble and ensure sustainability and maintenance overtime Implement model monitoring and model lifecycle management practices Assist in creation of innovative user interfaces and support the use of models through collaboration with key stakeholders Code Development and Testing Requires knowledge of coding languages like SQL Java C Python and others Testing methods such as static dynamic software composition analysis manual penetration testing and others Business domain understanding To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business technical and data requirements Create test cases to review and validate the proposed solution design Create proofs of concept Test the code using the appropriate testing approach Deploy software to production servers Contribute code documentation maintain playbooks and provide timely progress updates Data Visualization Requires knowledge of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced visualization techniques tools Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence To identify and recommend the most suitable visualization tools based on context Generate appropriate graphical representations of data and model outcomes Understand 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 Define application design based on customer requirements Build compelling stories based on context to integrate multiple pieces of information into cohesive insights Present to and influence audiences using the appropriate data visualization frameworks and Data Strategy Requires knowledge of understanding of business value and relevance of data and data enabled insights decisions Appropriate application and understanding of data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage and Scalability etc Understanding of the methods and applications that unlock the monetary value of data assets To understand articulate interpret and apply principles of the defined strategy to complex business problems Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains
Respect the Individual: Builds highperforming teams seeks and embraces differences in people cultures ideas and experiences creates a workplace where all associates feel seen supported and connected through culture of belonging so associates thrive and perform drives a positive associate and customermember experience for allRespect the Individual: Creates a discipline and focus around developing talent through feedback coaching mentoring and developmental opportunities 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 supports strategies and drives initiatives that attract and retain the best talentRespect the Individual: Builds strong and trusting relationships with team members and business partners works collaboratively and crossfunctionally to achieve objectives and communicates and listens attentively with energy and positivity to motivate influence and inspire commitment and actionAct with Integrity: Maintains and promotes the highest standards of integrity ethics and compliance models the Walmart values and leads by example to foster our culture supports Walmarts goal of becoming a regenerative company by taking action to advance opportunity sustainability community and integrity eg creating fair opportunities for associates and suppliers driving local giving efforts Act with Integrity: Ensures that teams follow the law our code of conduct and company policies promotes an environment where associates feel comfortable sharing concerns and models our culture of nonretaliation listens to concerns raised by associates and takes action and enables others to do the same holds self and teams accountable for achieving results in a way that is consistent with our valuesAct with Integrity: Acts as an altruistic servant leader and is consistently humble selfawareServe our Customers and members Delivers expected business results while putting the customermember first and consistently applying an omnimerchant mindset and acting with an Every Day LowCost mindset to drive value and Every Day Low Prices for customersmembersServe our Customers and members Adopts a holistic perspective that considers data analytics customermember insights and different parts of the business when making plans and implementing strategiesStrive for Excellence Consistently raises the bar and seeks to improve demonstrates curiosity and a growth mindset seeks feedback asks thoughtful questions and fosters an environment that supports learning innovation learning from mistakes and intelligent risktaking and exhibits resilience in the face of setbacks Strive for Excellence Drives continuous improvements supervises the adoption of new technology and supports digital disruption in line with Walmarts business model

Minimum Qualifications...

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

Minimum Qualifications: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. 2 years supervisory experience.

Preferred Qualifications...

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

Primary Location... BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , Indianan