Senior, Data Scientist
Role details
Job location
Tech stack
Job description
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Develop, test, and deploy advanced analytical models using statistical and machine learning techniques to solve complex business problems.
- Collaborate with stakeholders to translate business requirements into data-driven solutions aligned with strategic objectives.
- Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments.
- Create clear, insightful data visualizations and presentations to communicate findings and influence decision-making.
- Mentor junior team members on analytical methods, coding best practices, and business context understanding.
Requirements
- Extensive experience in data science and advanced statistical methods to develop and validate analytical models.
- Proficiency in programming languages such as Python, SQL, and Java for code development, testing, and model deployment.
- Strong knowledge of machine learning techniques, including feature selection, tuning, and multistage model assessment.
- Expertise in data visualization tools and best practices to effectively communicate complex data insights.
- Understanding of data ecosystems, data quality standards, and scalable data storage solutions.
- Ability to translate business requirements into data-driven solutions aligned with strategic objectives.
- Experience mentoring junior associates and collaborating cross-functionally to deliver impactful business results., Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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 years' 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. If none are listed, there are no preferred qualifications.
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, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Benefits & conditions
#LI-onsite At Walmart, we offer competitive pay as well as performance-based bonus 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. Seattle, Washington US-11573: The annual salary range for this position is $108,000.00 - $216,000.00 Denver, Colorado US-11581: The annual salary range for this position is $99,000.00 - $198,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock, Discount Card
Get 10% off
Walmart associates are eligible for a 10% discount card on most regular-priced items and fresh produce in-store and on select items at Walmart.com. Eligible after 90 days of employment.
Live Better U
100% covered
Earn a degree or in-demand skills certificates with no debt- Walmart covers 100% of tuition and books. Live Better U offers 60+ programs for Associates to pursue their dreams.
Walmart Academy
Grow your skills
Ready to grow your career? Walmart Academy offers job-specific retail training and leadership courses to help Associates reach their career goals.
Financial perks
Enjoy 401(k) matching and stock purchase plans.
Paid time off
Take a break as needed for vacation, sick leave, holidays, parental leave, and more
Comprehensive health benefits
Medical, dental, vision, and wellness programs for you and your family
Wellbeing programs
Access mental health resources and assistance programs for life's challenges
Career growth opportunities
Training, leadership programs, and clear paths to advance.
Learn more
Life at VIZIO: Driven by Our People