Principal, Data Scientist
About The Position
A principal data scientist would be expected to play a lead technical role in architecting data science solutions in order to achieve outstanding business outcomes for Marketplace. Work closely with a team of data scientists and solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data. Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic data science products after successful prototyping. Mentor and guide junior team members in achieving data science outcomes and handle multiple products and initiatives. Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents. Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia. Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Requirements
- Demonstrable experience of architecting large scale ML systems.
- Deep knowledge of the foundations of machine learning and statistics and has made significant original contributions to the area both in research and practice.
- Solid experience working with state-of-the-art Agentic, Gen AI, supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain.
- Strong Python coding skills and able to work with at least one other programming language such as Java/Scala.
- Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.
- Strong ability to understand the business.
- Good stakeholder management capabilities.
- Has mentored data scientists in developing ML solutions.
- PhD with > 10 years of experience / Master’s degree with > 12 years of experience.
- Educational qualifications should be preferably in Computer Science or a related area.
- Experience should be relevant to the role.
Nice To Haves
- Experience in ecommerce domain.
- Demonstrated success in data science platforms like Kaggle.
- Data science, machine learning, optimization models.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
- Publications or active peer reviewer in related journals or conference.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Using open source frameworks (for example, scikit learn, tensorflow, torch).
- Background in creating inclusive digital experiences.
- Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
- Knowledge in assistive technologies.
- Knowledge in integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices.
- Supporting an inclusive culture.
Responsibilities
- Play a lead technical role in architecting data science solutions to achieve outstanding business outcomes.
- Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
- Consult with product and business stakeholders to build, scale and deploy holistic data science products after successful prototyping.
- Mentor and guide junior team members in achieving data science outcomes.
- Handle multiple products and initiatives.
- Follow industry best practices and stay up to date with the state of the art in machine learning research and practice.
- Drive innovation by contributing towards publications and patents.
- Participate in internal technical councils and represent the organization in forums involving the data science community.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Benefits
- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- 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.
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
- Walmart-paid education benefit program for full-time and part-time associates (Live Better U)
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What This Job Offers
Job Type
Full-time
Career Level
Principal
