Staff, Data Scientist - Customer Digital Identity

Position Summary.
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What you'll do.
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At Walmart, we enable the connection between supplier brands and retail shoppers at unprecedented scale.
As primary stewards of our brand promise, "Save Money.
Live Better," we work alongside some of the most talented people in the world to engage with the more than 150M households who shop with us.
This is a unique opportunity to join a high growth business within the largest company in the world.
We believe all digital advertising can be targeted and accountable - and we have Walmart's sales data to prove it.
Walmart Connect wins when suppliers invest in digital media to drive growth; Walmart and our supplier partners win when your digital expertise helps sell more goods online and offline.
Growth in our digital advertising business is key to Walmart's overall growth strategy.
The Customer Digital Identity (CDI) organization is enabling the company to better understand who the Walmart customer is.
At the same time, we are ensuring streamlined processes, security, scalability, regulatory compliance and best in class customer experience.
The customer is at the heart of all we do at Walmart.
The Customer Digital Identity team will amplify customer centricity by deepening the company's understanding of customers and their preferences.
When we do that, we can serve them when and how they need.
About the role: The Staff Data Scientistwill lead our development efforts on Causal Inference Processes and Services.
This Causal Inference work will be used to guide near and long-range planning.
This Causal Inference work will inform strategic insights and guide future experimental design.
This exciting opportunity will join a team of data scientists embedded within the business unit to develop tools that quantify the impact of investment and operational decisions on the Customer, Associate and Shareholder.
This valued contributor will work with other teams within the Walmart Membership (W+), Walmart Connect (WMC) and Data Ventures.
Location: San Bruno, CA or Sunnyvale, CA Hybrid flexible office environment You'll sweep us off our feet if.
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You have experience in the development of Causal Inference (Judea Pearl) work product and frameworks.
Knowledge of DoWhy, ShowWhy, EconML, Causica or other Causal Inference package.
Familiar with Design of Experiment: A/B, Full Factorial, Partial Factorial, Plackett Burman You are skilled in Python.
R, Scala are optional.
You are experienced with Operational Research (OR), modeling, optimization, statistical modeling, Ridge/Lasso and elastic net regression.
Familiar with ML frameworks: Scikit learn, TensorFlow, PyTorch.
You are experienced in basic ETL practices.
SQL experience is required, working experience in SparkSQL or PySpark is preferred.
You have experience with cloud environments including Azure, Google Cloud, etc.
Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).
You are experienced with agile methodologies using project planning and tracking management tools e.
g.
, JIRA You're naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer.
You'll make an impact by.
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Examine business hypotheses leveraging Causal Inference analysis to develop deep understanding on causal relationships.
Publish and curate Causal Inference findings to support operational decision making.
Update inference findings with experimental results.
Support the development of Experiments to test Causal Inference findings.
Support the development of the Customer Decision Engine.
Provide Causal Inference capabilities to cover the entire customer shopping journey.
Identify data collection opportunities to better understand the customer/associate experience.
Support the build out of data feature store.
Identify data collection opportunities to better understand the customer/associate experience.
Support the build out of the customer intelligence platform and data feature store.
Mininum Qualifications: Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
Option 3: 6 years' experience in an analytics or related field At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
The amount you receive depends on your job classification and length of employment.
It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.
walmart.
com/notices .
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.
Walmart at https://bit.
ly/3iOOb1J .
The annual salary range for this position is $143,000.
00-$286,000.
00 Additional compensation includes annual or quarterly performance incentives.
Additional compensation for certain positions may also include: - Regional Pay Zone (RPZ) (based on location) - Stock equity incentives Minimum Qualifications.
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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 4 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
Option 3: 6 years' experience in an analytics or related field Preferred Qualifications.
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America