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Manager Walmart Data Science Jobs in Michigan (NOW HIRING)

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Responsible for designing, building ...

Lead the data-science workstream from concept through production and continuous improvement ... management. * Experience working with large-scale data platforms such as Databricks, Spark/PySpark ...

Leverage data to identify root causes of safety issues and apply solutions. * Utilize data ... Option 1: Bachelor's degree in occupational safety management, environmental science, traffic ...

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Responsible for designing, building ...

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ... our hiring managers. If you are concerned that a communication, an interview, an offer of ...

Infrastructure Management: Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows. * Collaboration: Working with data scientists to define AI ...

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

... management using tools such as MLflow. * Adhere to data governance, privacy, and compliance standards across all work. What You'll Need * BA/BS in Computer Science, Statistics, Mathematics, MIS ...

Showing results 41-60

Manager Walmart Data Science information

What does a manager in Walmart Data Science do?

A Manager of Walmart Data Science leads a team of data scientists to analyze large sets of data and generate insights that help drive business decisions at Walmart. They are responsible for overseeing data-driven projects, collaborating with other departments, and ensuring the effective use of advanced analytics and machine learning techniques. Their work helps optimize operations, improve customer experience, and identify new opportunities for growth. Additionally, they play a key role in mentoring team members and aligning data science initiatives with company goals.

What are the key skills and qualifications needed to thrive as a manager in Walmart Data Science?

To thrive as a Manager in Walmart Data Science, you need a strong background in data analytics, machine learning, and statistical modeling, typically supported by an advanced degree in a quantitative field. Familiarity with tools such as Python, SQL, Tableau, and big data platforms like Hadoop or Spark, as well as experience with cloud services and data visualization, is essential. Leadership, effective communication, and project management skills help in leading teams and translating data insights into business impact. These competencies ensure the delivery of actionable analytics that drive strategic decision-making and operational efficiency at scale.

How does a manager in Walmart Data Science typically collaborate with cross-functional teams to drive business impact?

As a Manager in Walmart Data Science, you'll regularly partner with teams across merchandising, supply chain, technology, and business strategy. Your role involves translating complex data insights into actionable strategies, leading meetings to align on project goals, and ensuring your team's models and analyses address real business needs. You'll often facilitate communication between technical data scientists and non-technical stakeholders, helping bridge gaps and drive consensus on data-driven initiatives. These collaborations are crucial for delivering solutions that improve customer experience, operational efficiency, and overall business performance.

What is the difference between Manager Walmart Data Science vs Data Analyst Walmart?

AspectManager Walmart Data ScienceData Analyst Walmart
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience in data management and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data tools
Work EnvironmentLeads data science teams, manages projects, collaborates with cross-functional teamsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageCommonly employed in retail, logistics, and e-commerce sectors within WalmartWidely used in retail, marketing, and operations departments at Walmart

The Manager Walmart Data Science role focuses on leading data science teams, developing models, and strategic insights, while the Data Analyst Walmart role emphasizes data analysis, reporting, and supporting business decisions. Both roles require strong analytical skills, but the manager position involves leadership and project management responsibilities.

What are the most commonly searched types of Walmart Data Science jobs in Michigan?

The most popular types of Walmart Data Science jobs in Michigan are:

What are popular job titles related to Manager Walmart Data Science jobs in Michigan?

For Manager Walmart Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Manager Walmart Data Science jobs in Michigan look for?

The top searched job categories for Manager Walmart Data Science jobs in Michigan are:

What cities in Michigan are hiring for Manager Walmart Data Science jobs?

Cities in Michigan with the most Manager Walmart Data Science job openings:

Data Scientist

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Re-posted 12 days ago


Job description

 

GeoLogics is working with a top Aerospace and Defense client looking for a Data Scientist in Sterling Heights, MI - Hybrid.

Role: Data Scientist

Client: Top Aerospace and Defense company

Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote) 

Schedule/Travel: 9/80 with 10% travel

Education: Bachelor's in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines. 
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights. 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed. 
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs. 
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation. 
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. 
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
  • Familiarity with Atlassian Jira or ServiceNow. 
  • Proficiency with server usage and troubleshooting. 
  • Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
  • Must be able to work independently to research, analyze, and form solutions. 
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation. 
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process. 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems. 
  • Ability to make decisions with sound judgment while complying with policies and procedures.
  • Experience developing requirements for collection of and follow on use of data to inform the organization. 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards. 
  • Self-starter with excellent attention to detail and able to stay organized.

Must Have Knowledge:

  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Collecting Data from various sources
  • Troubleshoot issues with data infrastructure, monitor systems
 
Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate.  Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran



Education:DegreeEmployment Type: CONTRACTOR