Walmart
Senior, Data Scientist(MLE)
Walmart, Sunnyvale, California, United States, 94087
Position Summary...
What you'll do...
We are seeking a highly motivated and skilled Senior Data Scientist to join the Marketplace Applied AI team. You will play a critical part in driving data-driven decisions by developing advanced models, machine learning, and computational algorithms. You will work closely with cross-functional teams to develop machine learning platforms and services to optimize business processes and drive growth for Walmart Marketplace.
As a
Walmart Senior Data Scientist , we are looking for a sharp, thoughtful, and collaborative problem solver, who enjoys uncovering key business drivers and challenges, and then building data science and analytics solutions to enable strategic decision making.
About the Team:
The Marketplace Applied AI team builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfillment, return & refund management. Our team is responsible for the design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
What You'll Do:
Drive data-derived insights
across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms, and computational algorithms based on business initiatives.Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.Utilize
big data analytics and advanced data science techniques
to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.Build and train
statistical models and machine learning algorithms
for replication for future projects.Communicate recommendations to business partners and influencing future plans based on insights.Collaborate with cross-function teams to promote advanced modeling and algorithms into machine learning services and platforms.
What you'll Bring:
Experience with 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 (e.g. SQL, NoSQL).Experience with Data Quality:
Existing business systems and processes, including the key drivers and measures of success. To understand the appropriate data set required to develop simple models by developing initial drafts. Support the identification of the most suitable source for data. Maintains awareness of data quality.Experience with Analytical Modeling:
Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modeling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.). Basic classical optimization techniques (e.g., Newton-Raphson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.).Advanced excel techniques and Programming languages like R/Python.Experience with coding languages such as
SQL and Python.Experience with languages such as Java, C++, and others are preferred.Experience in analyzing
complex problems and translating it into data science algorithms.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1 - Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2 - Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year's experience in an analytics related field. Option 3 - 5 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, Master's degree 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. Using open-source frameworks (for example, scikit-learn, TensorFlow, Torch). We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Primary Location...
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr
What you'll do...
We are seeking a highly motivated and skilled Senior Data Scientist to join the Marketplace Applied AI team. You will play a critical part in driving data-driven decisions by developing advanced models, machine learning, and computational algorithms. You will work closely with cross-functional teams to develop machine learning platforms and services to optimize business processes and drive growth for Walmart Marketplace.
As a
Walmart Senior Data Scientist , we are looking for a sharp, thoughtful, and collaborative problem solver, who enjoys uncovering key business drivers and challenges, and then building data science and analytics solutions to enable strategic decision making.
About the Team:
The Marketplace Applied AI team builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfillment, return & refund management. Our team is responsible for the design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
What You'll Do:
Drive data-derived insights
across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms, and computational algorithms based on business initiatives.Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.Utilize
big data analytics and advanced data science techniques
to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.Build and train
statistical models and machine learning algorithms
for replication for future projects.Communicate recommendations to business partners and influencing future plans based on insights.Collaborate with cross-function teams to promote advanced modeling and algorithms into machine learning services and platforms.
What you'll Bring:
Experience with 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 (e.g. SQL, NoSQL).Experience with Data Quality:
Existing business systems and processes, including the key drivers and measures of success. To understand the appropriate data set required to develop simple models by developing initial drafts. Support the identification of the most suitable source for data. Maintains awareness of data quality.Experience with Analytical Modeling:
Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modeling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.). Basic classical optimization techniques (e.g., Newton-Raphson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.).Advanced excel techniques and Programming languages like R/Python.Experience with coding languages such as
SQL and Python.Experience with languages such as Java, C++, and others are preferred.Experience in analyzing
complex problems and translating it into data science algorithms.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1 - Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2 - Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year's experience in an analytics related field. Option 3 - 5 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, Master's degree 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. Using open-source frameworks (for example, scikit-learn, TensorFlow, Torch). We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Primary Location...
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr