Senior Data Scientist
AngiSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, TechnologyIndustries
Requirements
- Knowledge of data strategy, including business value of data, data ecosystem (Data Management, Data Quality Standards, Data Governance, Accessibility, Storage, Scalability), and methods to unlock monetary value of data assets
- Ability to understand, articulate, and apply data strategy principles to routine business problems involving a single function
- Knowledge of functional business domain, data categories, locations, business data requirements, database technologies (SQL, NoSQL), distributed datastores, data quality, and existing business systems/processes
- Ability to support prioritization of requirements and SLAs, identify suitable data sources fit for purpose, and perform initial data quality checks
- Knowledge of internal/external data sources, collection/storage methods, interrelationships, ETL/batch processing, streaming ingestion, scrapers, APIs, crawlers, data warehousing (e.g., Snowflake, Microsoft Azure, Presto, Google BigQuery), preprocessing techniques (transformation, integration, normalization, feature extraction), and advanced techniques (decision trees, LASSO, random forests)
- Knowledge of cloud/big data environments (e.g., EDO2 systems) and current data science/analytics trends
- Knowledge of analytics/big data analytics, automation techniques, business understanding, precedence/use cases, and business requirements/insights
- Knowledge of industry/environmental factors, business vernacular, practices across domains (product, finance, marketing, sales, technology, business systems, HR), and relevant business metrics
- Knowledge of cloud data strategy, data warehouse/data lake/enterprise big data platforms, data modeling techniques/tools (dimensional design, scalability, Entity Relationship diagrams, Erwin), query languages (SQL, NoSQL), data flows, automated data load tools, and AI-enabled metadata management
Responsibilities
- Support understanding of priority order of requirements and service level agreements
- Help identify the most suitable source for data that is fit for purpose
- Perform initial data quality checks on extracted data
- Extract data from identified databases
- Create data pipelines and transform data to a structure relevant to the problem by selecting appropriate techniques
- Develop knowledge of current data science and analytics trends
- Translate/co-own business problems within one's discipline to data-related or mathematical solutions
- Identify appropriate methods/tools to provide solutions for problems
- Share use cases and examples to demonstrate how methods solve business problems
- Provide recommendations to business stakeholders to solve complex business issues
- Develop business cases for projects with projected ROI or cost savings
- Translate business requirements into project activities/tasks, align to overall business strategy, and develop domain-specific artifacts
- Serve as interpreter/conduit to connect business needs with tangible solutions/results
- Identify and recommend relevant business insights pertaining to area of work
- Analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models
Skills
SQL
NoSQL
ETL
Snowflake
Azure
Presto
BigQuery
Data Pipelines
Data Transformation
Data Integration
Data Governance
Data Quality
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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