Associate Director of Machine Learning
- Location SAN BRUNO, CA
- Career Area Data Science and Analytics
- Job Function Data Science and Analytics
- Employment Type -
- Position Type -
- Requisition 1287111BR
What you'll do at
•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.
•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.
- Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years' experience in data analytics or related field.
•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.
- 3 years' experience with statistical programming languages (for example, SAS, R).
- Certificate in business analytics, data mining, or statistical analysis.
- Master's degree in Statistics, Information Systems, Business Administration, or relate
Hello, Silicon Valley
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Golden Gate Cemetery
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All the benefits you need for you and your family
- Multiple health plan options
- Vision & dental plans for you & dependents
- Associate discounts in-store and online
- Financial benefits including 401(k), stock purchase plans and more
- Education assistance for Associate and dependents