Walmart Inc.
Location
Sunnyvale, CA | United States
Job description
Walmart is seeking a Staff Data Scientist to join our Compass team in Sunnyvale, CA.
Compass team focuses on enhancing efficiency through data driven solutions among different internal operational verticals of Transactional Systems org. We’re looking for trailblazers with an entrepreneurial mindset to innovate, tinker and craft something entirely new from the ground up.
We’re looking for a product focused Data Scientist that will be instrumental to the creation, growth, and iteration of our expanding customer centric payment solutions. This includes developing customer segmentation, anomaly detection algorithms, smart routing and smart payment retries. Using our customer checkout data, this person will leverage their extensive knowledge of data science and big data tools to build the algorithms that power the actionable insights for our Walmart customers.
What You’ll Do
You will be responsible for building and interpreting algorithms that power data products for Transaction systems. In this role, you will -Obtain insights by leveraging machine learning algorithms. Examples are-
Operational segmentation via Clustering algorithms to group customers.
Supervised and semi-supervised learning methods for optimal payment routing and retries.
Anomaly detection methods to identify and predict anomalies to improve transactional systems’ performance and resiliency.
Design and develop orchestrated pipelines for analytical purposes and machine learning training.
Iterate with product and business by creating state of the art machine learning based solutions and be able to explain the reasons behind the executed inference.
Setup and run experiments to validate hypotheses and explain their conclusions.
Stay up to date with the latest research and developments in the machine learning field, and apply this where applicable.
What You’ll Bring
Experience developing, training, validating, benchmarking, and monitoring machine learning algorithms.
Experience leveraging a big data frameworks to create the pipelines needed to feed the models with appropriate data.
Problems are approached with a statistical mindset, keeping inference as a product of data. science. Experience with machine learning based anomaly detection is a plus.
Ability to distill complex systems and solutions to 2 or 3 actionable modeling tasks.
Ability to communicate complex outcomes with clarity over a wide range of audiences.
Extensive knowledge of data science and statistics techniques, toolsets, and algorithms, such as e.g. PySpark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, Airflow, SQL.
An experimental mindset with a launch fast and iterate mentality.
Preferred Skills
6+ years of professional experience as a Data Scientist.
Experience working with GCP tools is a plus.
A strong statistics/mathematics background.
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.
Benefits & Perks:
Beyond 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 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, abilities, ideas and opinions- while being inclusive of all people.
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 . 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 . 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 incentivesOutlined 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 fieldOutlined 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)Job tags
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