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Senior Manager, Machine Learning Scientist

Walmart


Location:
San Bruno, CA 94066
Date:
02/21/2018
2018-02-212018-05-14
Walmart
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Job Details

983650BRReq ID:983650BRCompany Summary:Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.Job Title:Senior Manager, Machine Learning ScientistPosition Summary:We are looking for an Associate Director, Machine Learning Scientist who will help us strategically leverage the vast amounts of data from the Worlds largest Omni-channel retailer to better serve the Customer. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products, using advance machine learning techniques.



Responsibilities:



Leverage and organize data model, with marketing data, from various omni-channel sources, including internal platforms, media partners, agencies, store and online transaction data, and other third party sources.

Process, cleanse, and verify the integrity of data used for analysis.

Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.

Build AB and Multivariate testing framework to support a robust learning agenda and provide ongoing behavioral feedback to constantly improve performance.

Implement machine learning and artificial intelligence models to improve conversion rates and campaign effectiveness, and work with engineering to implement algorithm optimization.

Build funnels to better understand customer behavior and leverage them to improve conversion rates.

Drive deep customer analysis with focus on predicting and improving customer LTV.

Drive models that focus on incrementally and profit margin growth.

Lead segmentation analysis and testing to better serve the customer in more relevant ways.

Support both MMM and MTA measurement models (Traditional Marketing Mix as well as Multi Touch Attribution), and educate the organization when each should leverage, depending upon business goal and desired insight.

Lead ad-hoc analysis and present results in a clear manner.

Create automated anomaly detection systems and constant tracking of its performance.City:SAN BRUNOState:CAPosition Description:We are looking for an Associate Director, Machine Learning Scientist who will help us strategically leverage the vast amounts of data from the Worlds largest Omni-channel retailer to better serve the Customer. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products, using advance machine learning techniques.



Responsibilities:



Leverage and organize data model, with marketing data, from various omni-channel sources, including internal platforms, media partners, agencies, store and online transaction data, and other third party sources.

Process, cleanse, and verify the integrity of data used for analysis.

Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.

Build AB and Multivariate testing framework to support a robust learning agenda and provide ongoing behavioral feedback to constantly improve performance.

Implement machine learning and artificial intelligence models to improve conversion rates and campaign effectiveness, and work with engineering to implement algorithm optimization.

Build funnels to better understand customer behavior and leverage them to improve conversion rates.

Drive deep customer analysis with focus on predicting and improving customer LTV.

Drive models that focus on incrementally and profit margin growth.

Lead segmentation analysis and testing to better serve the customer in more relevant ways.

Support both MMM and MTA measurement models (Traditional Marketing Mix as well as Multi Touch Attribution), and educate the organization when each should leverage, depending upon business goal and desired insight.

Lead ad-hoc analysis and present results in a clear manner.

Create automated anomaly detection systems and constant tracking of its performance.









+ A Principal Data Scientist is responsible for collaborating with a business segment to determine long-term vision and provide analytical support and guidance. A Principal Data Scientist analyzes large data sets to develop multiple, complex custom models and algorithms to drive innovative business solutions. Principal Data Scientists work on large project teams in order to provide analytical support and guidance to a large project team (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. The algorithms built

+ Build learning systems to analyze and filter continuous data flows and offline data analysis.

+ Combine data features to determine search models.

+ Conduct advanced statistical analysis to determine trends and significant data relationships.

+ Develop machine learning models to apply test data algorithms to future data.

+ Develop models of current state in order to determine improvements needed.

+ Drives the execution of multiple business plans and projects

+ Ensures business needs are being met

+ Interpret data to identify trends to go across future data sets.

+ Lead project teams to develop innovative solutions to drive innovative business solutions.

+ Lead the implementation of data modeling solutions.

+ Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity

+ Provide guidance to cross-functional leadership regarding data modeling possibilities.

+ Provides supervision and development opportunities for associates

+ Research new techniques and best practices within the industry.

+ Review business strategies to ensure alignment across initiatives.

+ Scale new algorithms to large data sets.

+ Train algorithms to apply models to new data sets.

+ Translate business needs into data modeling initiatives.

+ Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).

+ Validate models and algorithmic techniques.

Minimum Qualifications:BS or MS degree in Computer Science, Statistics, Information Systems, Industrial Engineering, Economics or a related technical field or equivalent experience.

5+ years of experience managing engineering projects, including assigning resources, managing priorities and defining measurable milestones.

Proven experience driving incremental value and repeatable growth through products, services and capabilities directly tied to machine learning techniques and algorithms.

Great communication skills, with ability to explain complex concepts and techniques in simple terms relevant to the needs of the business.

Customer-focused: looks at data as a means to better serve the customer.

Proficiency in using query languages such as SQL, Hive.

Knowledge of the Java programming language, RDBMS, and NoSQL.

Skills around Spark, Hadoop, Hive, Pig, HBase, Cassandra, Map Reduce.

Knowledge of J2EE and Web service technologies.

Expert knowledge of design, implement, and consume RESTful APIs .

Understand SDLC, use of SCM and continuous integration tools.

Strong experience in debugging, performance tuning and optimization for scalability and high availability.

Good applied statistics skills, such as distributions, statistical testing, regression, etc.Additional Preferred Qualifications:Experience in data visualization across multiple tools such as Tableau, Thoughtspot, Looker and Domo.

Experience in front-end web application development. Good scripting and programming skills to integrate solutions within key applications and platforms.

Experience collaborating with multiple teams in a highly matrixed environment.

Experience and passion for working in a fast-paced agile environment, delivering functional features in small time durations.

4 years of experience in web design or web analytics.

4 years of experience using a Business Intelligence (BI) tool (for example, Oracle) to create a report to specifications.

4 years of experience using exploratory data analysis.Category:Marketing Division:Walmart.comDivision Summary:The Walmart.com team is here to provide amazing digital and physical experiences for our customers with seamless access to products and services they want. Marketplace allows us to present an even wider array of vendor products on Walmart.com and beyond. Behind the scenes, e-commerce experts are focused on category growth, program management, business development, and seller onboarding. We continuously strive to deliver incredible selection, ease, and e-commerce innovation to customers.Employment Type:Full TimeRequisition Template:eCommerce Department Summary:The Marketing team brings the Walmart brand to life with an unmatched level of ingenuity, collaboration and a customer-centric focus. Our team of strategists, designers, writers, producers and art directors orchestrate online engagement opportunities that drive conversion, loyalty and repeat visits among 1.5 billion customers globally. Its something were proud to hang our creative hat on.
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