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Job Location: Bentonville, AR
Job Detail:
Position Summary…
What you’ll do…
We are looking for a passionate, creative Staff Data Scientist to join the Investigative Risk and Operational Compliance Center (IROCC) team. You will be responsible to solve complex business problems using cutting-edge data mining, machine learning and optimization techniques. You will be a part of a cross-functional team of Data Analysts and Scientists focusing on solving business problems in the Global Security and Aviation (GSA) subject area.
Responsibilities
- Be a strategic team member of the IROCC teams, sharing insights and providing recommendations through effective communication and storytelling with data.
- Translate business requirements to technical solutions in machine learning models, analysis, or software tools
- Shares usecases and gives examples to demonstratehow the method wouldsolvethe businessproblem
- Builds complex data sets from multiple data sources, both internally and externally
- Process complicated and large-scale datasets using distributed computing platforms; extract insights from data.
- Identifiesthe dimensionsof the experiment, finalizesthe design, tests hypotheses, and conducts the experiment
- Design, build and implement predictive and optimization models for replication of future projects
- Identifiesthemodelevaluation metrics
- Appliesbest practice techniques for model testing and tuning to assess accuracy, fit,validity, and robustness formulti-stage modelsandmodel ensembles
- Createstest cases to review and validate the proposed solution design
- Demonstrate incremental solution approach with agile and flexible ability to overcome the practical problems
- Productionize solutions (such as in the form of model servers or cron jobs); maintain and continuously improve the solutions; address production issues. Present on projects within team or beyond to boost knowledge sharing, visibility, and business impact.
- Write solid production code, mainly in Python. Master and help evolve the team’s technical stack (centered on Python, cloud, ML/DL, Docker, Kubernetes); understand Walmart’s product, data and pipeline systems.
- Participate in project and model discussions, code reviews. Assist the team on system, infrastructure, analytics, modeling, and other needs.
- Interest in researching about new methods, tools and techniques to address complex business problems.
- Guides the team on feature engineering, experimentation and advanced modelling techniques to be used for complex problems with unstructured and multiple data sets
- Ability to communicate your results from deeply technical to non-technical audiences.
- Ability to influence and collaborate with cross functional leaders
Skills And Experience Required
- 3+ years (with Masters’ degree) or 1+ years (with PhD degree) programming-heavy work experience in a software engineering or data science team.
- Technical expertise in data mining, machine learning, and statistical analysis (Python/PySpark/R/SQL)
- Work experiences using traditional machine learning models such as classification, clustering, random forest, boosting, and ensemble to solve real-world problems.
- Experience using data visualization (PowerBI/Tableau/Matplotlib) to derive powerful insights
- Decent proficiency at major ML and DL libraries such as scikit-learn, pytorch, tensorflow, numpy.
- Experience in statistical methods and advanced modeling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.) along with the optimization and OR techniques
- Experience working with large data sets and distributed computing tools (Map/Reduce, BigQuery,Hadoop, Hive, or Spark)
- Good knowledge on deploying models into production
- Ability to clearly define problems, models and constraints from informal and flexible business requirements that often deal with competing objectives.
- Ability to effectively communicate the findings to technical and non-technical stakeholders, both verbally and through written communications.
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.
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…
2914 Se I St, Bentonville, AR 72712-3148, United States of America
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