Lead Data Scientist
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, Technology, People TechnologyIndustries
Requirements
- Extensive experience in developing and deploying machine learning and deep learning models using Python and related tools
- Proficiency in statistical analysis, feature engineering, and advanced modeling techniques including Bayesian inference and neural networks
- Strong knowledge of data ecosystems, data quality standards, and scalable data management practices
- Expertise in coding, testing, and validating models with a focus on accuracy, robustness, and business impact
- Ability to translate complex business problems into data-driven solutions aligned with strategic objectives
- Proven leadership skills in mentoring teams and guiding technical development
- Familiarity with cloud platforms such as AWS SageMaker for model deployment and lifecycle management
- Proficiency in programming languages such as Python and SQL
- Deep expertise in coding, statistical analysis, and data visualization
Responsibilities
- Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL
- Analyze complex business problems to identify root causes and recommend data-driven approaches
- Select and engineer features, build statistical and machine learning models, and validate model performance
- Identify and source relevant data, ensuring quality and suitability for analytical needs
- Create compelling data visualizations and communicate insights to influence business decisions
- Mentor team members on technical and business aspects of data science projects
- Collaborate cross-functionally to align data initiatives with strategic objectives
- Lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges
- Guide teams in data strategy, model validation, and scalable implementation
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What compensation does Walmart offer for this Principal Data Scientist role?
Walmart offers competitive pay as well as performance-based bonuses.
Is this Principal Data Scientist position remote or does it require office work?
This information is not specified in the job description.
What key skills are required for the Principal Data Scientist role?
The role requires extensive experience in developing and deploying machine learning and deep learning models using Python, proficiency in statistical analysis, feature engineering, advanced modeling techniques like Bayesian inference and neural networks, strong coding and model validation skills, and familiarity with cloud platforms like AWS SageMaker.
What is the team culture like for this data scientist position at Walmart?
The role is part of the dynamic People Technology team within Walmart Global Tech, focused on innovative people-focused technology, AI and machine learning applications to enhance associate productivity, with emphasis on leadership, mentoring, cross-functional collaboration, and fostering innovation in a data-driven environment.
What makes a strong candidate for this Principal Data Scientist role?
Strong candidates will have proven leadership in mentoring teams, deep expertise in translating complex business problems into scalable ML solutions using Python and AWS SageMaker, and the ability to guide data strategy while collaborating cross-functionally for business impact.
Walmart
Global retail chain offering affordable products
About Walmart
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.
Bentonville, ArkansasHeadquarters
1962Year Founded
$5,515MTotal Funding
IPOCompany Stage
Financial Services, Consumer GoodsIndustries
10,001+Employees
Benefits
PTO: Paid vacation, sick time, personal time and holiday time
10% discount on regularly priced general merchandise and fresh fruits and vegetables
6% 401(k) match to all employees, including hourly workers, after one year
Roth IRA available
Associate Stock Purchase Plan
maximum and eligible preventive care covered at 100%
Health reimbursement plans
Risks
Rising U.S. labor costs could pressure profit margins.
Amazon's grocery delivery expansion threatens Walmart's market share.
Fintech investments expose Walmart to financial regulatory risks.
Differentiation
Walmart's omnichannel strategy integrates physical and online retail seamlessly.
The company offers a wide range of products at consistently low prices.
Walmart's commitment to community support enhances its brand reputation.
Upsides
Walmart's investment in fintech expands its financial services offerings.
Robotics integration in distribution centers boosts operational efficiency.
Culturally themed product lines attract diverse customer segments.
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