Senior, Data Scientist | Personalization

Company:  Walmart
Location: Sunnyvale
Closing Date: 02/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Position Summary...

Walmart Global Tech is looking to hire a seasoned Senior Data Scientist for their Personalization team in Sunnyvale to support the Personalization and Recommendation development efforts with our eCommerce team. This role will have the opportunity to explore the real-world large-scale eCommerce data and build DS/ML models to improve the customers' shopping experiences.

About Team: Personalization

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 experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. We are people-led and tech-empowered.

What You'll Do

  • Develop state-of-the-art techniques in Machine Learning, Personalization, and Recommendation Systems.
  • Design, implement, and own the state-of-the-art Machine Learning approaches including deep learning, reinforcement learning, and computer vision techniques.
  • Work with other tech leads on top-down or bottom-up initiatives and priorities.
  • Develop data models based on new data insights.
  • Design, architect, and iterate on data models.
  • Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations.

What You'll Bring

  • Master's degree/PHD in Data Science, Computer Science, or related fields with solid industry experience.
  • Expertise in Machine Learning, Statistics, Personalization, and Item Recommendation algorithms.
  • Experience in data science and building and evaluating large-scale machine learning & deep learning models.
  • Experience in designing and deploying highly scalable Recommender Systems for e-commerce.
  • Curiosity in state-of-the-art techniques in recommendation-related areas.
  • Exceptional business acumen and problem-solving skills, a demonstrated ability to prototype and implement complex AI solutions.
  • Outstanding communication, leadership, and written skills.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position:

  • Option 1 - Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics-related field.
  • Option 2 - Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year experience in an analytics-related field.
  • Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position:

  • Data science, machine learning, optimization models, Master's degree 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, PyTorch).
  • Knowledge of accessibility best practices and Walmart's accessibility standards.

About Walmart Global Tech

We train our team in the skillsets of the future and bring in experts like you to help us grow. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation.

Flexible, Hybrid Work

We use a hybrid way of working that is primarily in-office coupled with virtual when not onsite.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance and other great perks.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer - By Choice.

The annual salary range for this position is $117,000.00-$234,000.00.

Additional Compensation Includes Annual Or Quarterly Performance Bonuses.

#J-18808-Ljbffr
Apply Now
An error has occurred. This application may no longer respond until reloaded. Reload 🗙