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(USA) Staff Data Scientist, Digital Identity
Walmart
San Bruno, California, United States
Posted: about 2 years ago
Number of openings: 1
4-9 years
Permanent

Job Description

Position Summary... What you'll do... X5 – Staff Data Scientist – Digital Identity The Staff Data Scientist will 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.  You’ll sweep us off our feet if… - 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… - 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. 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. The full Job Description can be made available as part of the hiring process. Benefits & Perks: Beyond competitive pay, 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. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com About Walmart: At Walmart, we’ve led retail for over 60 years by keeping our customers’ needs at the center of everything we do. Our latest innovations leverage our online reach and massive network of physical stores to save 160 million weekly omnichannel customers time and money in ways no other retailer can match. Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. Walmart isn’t simply the world’s most successful retailer — we’re the world’s largest company. This is a unique opportunity to be part of a high-visibility team backed by the most talented retail colleagues in the world. 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 $160,000.00-$230,000.00 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... 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... 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...850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America

RoleStaff Data Scientist, Digital Identity
IndustryRetail
EducationBachelor's Degree in Statistics
Key Skills:
torch
Statistics
Operations
Python
R
Research
Machine learning
Spark
TensorFlow