Data Scientist

Redolent•San Bruno, CA

25d•Onsite

About The Position

One of our direct client is urgently looking for a Data Scientist @ San Bruno CA. This role involves collaborating with Walmart Connect Sales and Marketing teams to develop and deliver customer insights, influence media investment strategies, and drive business growth. The position requires end-to-end ownership of assigned analyses, clear communication with stakeholders, and the development of predictive and Machine Learning models for shopper insights, target audiences, and customer journeys. The Data Scientist will drive strategic initiatives, identify issues, create hypotheses, execute analyses, and translate data into actionable insights. Responsibilities include developing executive-level presentations, identifying and acquiring new data sources, and supporting day-to-day operating activities and special projects. The role also involves facilitating the evangelization of the team’s charters, plans, and processes across the Sales & Marketing organization.

Requirements

PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.
Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.
Knowledge of one of the scripting languages such as Python or Perl.
Experience analyzing and interpreting the results of product experiments.
Knowledge of statistical languages such as R.
Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).
Working knowledge of Relational Data Base Systems and SQL.
Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
Excellent communications and organizational skills
Minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments
Strong programming skills in R/Python
Must have hands-on data analytics experience
Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning)
Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint)
Experience in developing and presenting strategic, action-oriented oral & written communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience.

Nice To Haves

Prior experience in this area with eCommerce or Online Retail would be a plus.

Responsibilities

Collaborate with the Walmart Connect Sales and Marketing teams for the development, execution and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities
Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders
Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys
Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis and translating data into meaningful insights and actions.
Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what clearly for Walmart Connect advertisers
Support development of executive level presentations and perspectives
Identify gaps and opportunities for improving existing data sources and engage with broader Walmart teams to acquire and summarize these sources within the Walmart Connect environment
Support the Sales/Marketing teams in managing day-to-day operating activities and special projects
Facilitate the evangelization of the team’s charters, plans, and processes across the Sales & Marketing organization
Design and build new data set processes for modeling, data mining, and production purposes.
Determine new ways to improve data and search quality, and predictive capabilities.
Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.