Director, Data Science - AI Research
Position SummaryWhat you'll do The Retail Intelligence team is leading the AI strategy for the company and is specifically charged with intercepting, redesigning, and reframing our end-to-end systems to accelerate customer retention and spend while improving our associates' productivity and turnover.
We will reframe business challenges into ML problems, rapidly prototype new algorithms in a toy-scale garage setting, iterate to acceptance with the business, design and execute experiments to test for viability of our models, and work with Tech to productionalize and scale the end-state solution.
What you'll do :
The AI Engineering group develops algorithms across entire end-to-end customer flow - from merchandising to supply chain.
The work includes solving problems such as geo demand forecasting, inventory placement, middle mile network flow optimization, last mile delivery and returns design, transportation and monetization strategies to provide Walmart a competitive edge in the medium to long term.
We primarily employ various techniques from operations research to classical machine learning, deep learning, reinforcement learning, causal inference and statistics.
Our work is innovative and is published in top tier conferences and journals.
What you'll bring :
M.
S.
in a quantitative discipline such as Operations Research, Mathematics, Computer Science, Statistics , with 10
years of relevant work experience, People management experience of 6
years preferred.
Be able to leverage your thesis in Operations Research or Statistics or an equivalent quantitative field involving math programming techniques, stochastic programming, statistical and/or machine learning methods Experience with one or more of optimization toolkits/libraries like CPlex, Gurobi, XPressMP or open-source solvers.
Strong software development skills in languages such as Python and familiarity with machine learning libraries such as Scikit, Tensorflow, Pytorch, Keras.
Data querying ability using Sql.
Ability to communicate your results to both technical and non-technical audiences alike.
Ability to collaborate with cross functional leaders About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
People are why we innovate, and people power our innovations.
We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow.
We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.
Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.
Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
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 responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Minimum Qualifications Outlined below are the required minimum qualifications for this position.
If none are listed, there are no 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 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, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location 702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America Recommended Skills Apache Spark Assessments Business Requirements Data Analysis Data Science Economy Estimated Salary: $20 to $28 per hour based on qualifications.
We will reframe business challenges into ML problems, rapidly prototype new algorithms in a toy-scale garage setting, iterate to acceptance with the business, design and execute experiments to test for viability of our models, and work with Tech to productionalize and scale the end-state solution.
What you'll do :
The AI Engineering group develops algorithms across entire end-to-end customer flow - from merchandising to supply chain.
The work includes solving problems such as geo demand forecasting, inventory placement, middle mile network flow optimization, last mile delivery and returns design, transportation and monetization strategies to provide Walmart a competitive edge in the medium to long term.
We primarily employ various techniques from operations research to classical machine learning, deep learning, reinforcement learning, causal inference and statistics.
Our work is innovative and is published in top tier conferences and journals.
What you'll bring :
M.
S.
in a quantitative discipline such as Operations Research, Mathematics, Computer Science, Statistics , with 10
years of relevant work experience, People management experience of 6
years preferred.
Be able to leverage your thesis in Operations Research or Statistics or an equivalent quantitative field involving math programming techniques, stochastic programming, statistical and/or machine learning methods Experience with one or more of optimization toolkits/libraries like CPlex, Gurobi, XPressMP or open-source solvers.
Strong software development skills in languages such as Python and familiarity with machine learning libraries such as Scikit, Tensorflow, Pytorch, Keras.
Data querying ability using Sql.
Ability to communicate your results to both technical and non-technical audiences alike.
Ability to collaborate with cross functional leaders About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
People are why we innovate, and people power our innovations.
We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow.
We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.
Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.
Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
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 responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Minimum Qualifications Outlined below are the required minimum qualifications for this position.
If none are listed, there are no 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 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, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location 702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America Recommended Skills Apache Spark Assessments Business Requirements Data Analysis Data Science Economy Estimated Salary: $20 to $28 per hour based on qualifications.
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