Head of Fraud & Risk Data Science
Sardine$220,000 - $270,000/year
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, AnalyticsIndustries
Requirements
- Strategic Leadership: Experience leading enterprise-level data initiatives and influencing C-suite decisions
- Technical Mastery: Deep expertise in advanced analytics, statistical modeling, and machine learning techniques (e.g., SVM, Random Forest, NLP, optimization methods)
- Data Ecosystem Knowledge: Strong understanding of data management, governance, and distributed systems
- Visualization & Communication: Ability to craft compelling insights using tools like Tableau, Power BI, and Python visualization libraries
- Business Acumen: Proven ability to connect data insights to business strategy and deliver measurable impact
- Team Leadership: Track record of building and mentoring high-performing, diverse teams
- Innovation Mindset: Passion for leveraging emerging technologies to create competitive advantage
Responsibilities
- Lead Enterprise Data Strategy: Develop and implement a data strategy that spans multiple business domains—product, marketing, finance, and operations—ensuring alignment with organizational goals and measurable ROI
- Deliver High-Impact Solutions: Oversee the design, development, and deployment of advanced analytical models and scalable applications using techniques such as Bayesian inference, neural networks, and optimization algorithms
- Solve Complex Business Problems: Analyze root causes, challenge assumptions, and create technology-driven solutions that address large-scale, multi-structured data challenges
- Drive Data Quality & Governance: Establish standards for data sourcing, quality checks, and governance across SQL, NoSQL, and distributed data environments
- Influence Through Insights: Build compelling data stories using advanced visualization tools (Tableau, Power BI, Python libraries) to influence senior stakeholders and drive strategic decisions
- Mentor & Develop Talent: Guide teams in feature engineering, model validation, and deployment best practices, fostering a culture of innovation and continuous learning
- Champion Innovation: Apply cutting-edge machine learning and AI techniques, including AutoML and streaming data solutions, to maintain Sam’s Club’s leadership in retail analytics
- Ensure Model Lifecycle Excellence: Implement robust model monitoring, scaling, and sustainability practices to deliver long-term value
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary or compensation for this Director, Data Science role?
This information is not specified in the job description.
Is this Director, Data Science position remote or does it require office work?
This information is not specified in the job description.
What key skills are required for this role?
The role requires strategic leadership in enterprise data initiatives, deep expertise in advanced analytics, statistical modeling, and machine learning techniques like SVM, Random Forest, NLP, and optimization methods, plus knowledge of data management, governance, distributed systems, and visualization tools such as Tableau and Power BI.
What is the team structure or culture like at Sam's Club for this role?
The role involves mentoring and developing a high-performing team of associates, fostering a culture of innovation and continuous learning.
What makes a strong candidate for this Director position?
Strong candidates will have experience leading enterprise-level data initiatives, influencing C-suite decisions, technical mastery in advanced analytics and machine learning, and the ability to mentor teams while delivering high-impact solutions.
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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