Senior Data Scientist
PhantomSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
YesVisa
RetailIndustries
Requirements
- Master’s degree or the equivalent in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Information Technology, or related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years of experience in an analytics or related field
- Experience using Python and PySpark to extract and analyze data from diverse data sources
- Experience applying Statistical and Machine Learning techniques to build and deploy Predictive Models
- Experience using SQL and ETL to build custom data flows and process modules to aggregate large quantities of data
- Experience writing programming queries and scripts to automate the data extraction process and minimize manual intervention
- Experience performing analysis on data to understand relationships, identify trends, and gain business insights
- Experience analyzing and drawing conclusions from extracted data by applying mathematical modeling, statistical modeling, and simulation methodologies
- Experience designing and developing visualizations to translate structured and unstructured data
- Experience with hyper parameter tuning models to improve accuracy
- Experience using PySpark to scale models and enable parallel processing to expedite runtimes
- Experience scaling Machine Learning models using Cloud Platforms
Responsibilities
- Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders
- Participates in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams
- Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders
- Participates in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the job location for this Data Scientist III position?
The job is located at 221 River Street, Hoboken, NJ 07030.
What education is required for this role?
A Master’s degree or equivalent in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Information Technology, or related field is required; or a Bachelor’s degree or equivalent in those fields plus 2 years of experience in an analytics or related field.
What programming skills are required?
Experience using Python is required.
What are the main duties of a Data Scientist III at Walmart?
Duties include presenting data insights to stakeholders, developing analytical models, participating in data analytics projects as a technical lead, and contributing to continuous improvement of data science solutions.
What makes a strong candidate for this Data Scientist III position?
Candidates with a relevant Master’s degree or a Bachelor’s plus 2 years of analytics experience, proficiency in Python, and skills in developing statistical models, presenting insights, and leading analytics projects will stand out.
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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