See all roles

Part Time Data Scientist - Walmart Global Tech: Unlocking Business Potential through Data-Driven Insights

Work from home Full-time role Hiring

Unlocking the Power of Data at Walmart Global Tech

Walmart, one of the world's largest retailers, is on a mission to harness the power of data to drive business decisions that impact millions. As a pioneer in the retail industry, we've been at the forefront of leveraging data science to enhance customer experiences, optimize operations, and stay ahead of the curve. If you're a curious and driven data enthusiast with a passion for uncovering hidden insights, we invite you to join our team as a Part-Time Data Scientist at Walmart Global Tech.

About the Role

As a Data Scientist at Walmart Global Tech, you'll be part of a dynamic team that analyzes complex data sets to inform strategic business decisions. You'll work closely with stakeholders across the organization to identify opportunities, develop predictive models, and implement data-driven solutions that drive value for our customers and the business. This is a unique chance to apply your skills and expertise to real-world problems, collaborate with talented professionals, and contribute to the company's continued growth and innovation.

Key Responsibilities

  • Driving Business Impact: Develop and implement advanced analytics models to drive business outcomes, including predictive modeling, statistical inference, and data visualization.
  • Collaboration and Communication: Work closely with data engineers, product managers, and business stakeholders to gather requirements, design solutions, and communicate insights and recommendations.
  • Exploratory Data Analysis: Conduct thorough exploratory data analysis to identify trends, patterns, and correlations, and develop hypotheses to test and validate.
  • Model Development and Deployment: Design, develop, and deploy machine learning models and algorithms to drive business value, using techniques such as SVM, Random Forest, Bayesian inference, and neural networks.
  • Process Improvement: Develop and implement processes and tools to monitor, analyze, and continuously improve model performance and data accuracy.

Essential Qualifications

To succeed in this role, you'll need:

  • A Bachelor's degree in a quantitative field, such as Computer Science, Mathematics, Statistics, or Engineering.
  • Proven experience as a Data Scientist or in a related field, with a track record of developing and deploying advanced analytics models.
  • Strong proficiency in programming languages, such as Python, R, or SQL, and experience with data manipulation and analysis libraries.
  • Experience with machine learning techniques, including supervised and unsupervised learning, deep learning, and natural language processing.
  • Strong understanding of statistical modeling and inference, including hypothesis testing and confidence intervals.

Preferred Qualifications

While not required, the following skills and experience can be a plus:

  • Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases.
  • Familiarity with cloud-based platforms, such as AWS or Azure, and experience with containerization using Docker.
  • Knowledge of data visualization tools, such as Tableau or Power BI, and experience with creating interactive dashboards.
  • Experience working in an Agile development environment, with iterative and incremental delivery.

Skills and Competencies

To excel in this role, you'll need to possess:

  • Analytical and problem-solving skills: Ability to analyze complex data sets, identify patterns, and develop creative solutions.
  • Communication and collaboration skills: Strong ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams.
  • Curiosity and adaptability: Willingness to learn new techniques, adapt to changing priorities, and stay up-to-date with industry trends.
  • Attention to detail: Strong attention to detail, with a focus on delivering high-quality results.

Career Growth Opportunities and Learning Benefits

At Walmart Global Tech, we're committed to helping our employees grow and develop their skills. As a Data Scientist, you'll have access to:

  • Training and development programs: Opportunities to enhance your skills in data science, machine learning, and related areas.
  • Mentorship and coaching: Guidance from experienced professionals to help you navigate your career.
  • Career advancement opportunities: Potential to move into leadership roles or take on new challenges within the organization.

Work Environment and Company Culture

Walmart Global Tech is a dynamic and inclusive workplace that values diversity, equity, and inclusion. As a part-time Data Scientist, you'll be working in a collaborative environment with talented professionals who share a passion for data-driven innovation. We offer:

  • Flexible work arrangements: Part-time schedule with flexibility to work remotely.
  • Competitive compensation: $25 per hour, with opportunities for growth and development.
  • Comprehensive benefits: Access to medical, dental, and vision insurance, 401(k) plans, and other benefits.

Compensation, Perks, and Benefits

We offer a competitive compensation package, including:

  • Hourly rate: $25 per hour.
  • Benefits: Medical, dental, and vision insurance, 401(k) plans, and other benefits.
  • Perks: Discounts on Walmart products, paid time off, and opportunities for career advancement.

Join Our Team

If you're a motivated and talented Data Scientist looking to make a meaningful impact, we encourage you to apply for this exciting opportunity. As a part of Walmart Global Tech, you'll be joining a team of innovators and problem-solvers who are passionate about harnessing the power of data to drive business success. Don't miss this chance to take your career to the next level and contribute to the future of retail.

Apply Now!

Apply for this job

You might like

Staff Data Scientist - Transforming Omnichannel Marketing at Walmart Connect

Work from home Full-time role

Part Time Remote Senior Data Analyst - Data Insights and Business Intelligence at Walmart

Work from home Full-time role

Senior Data Analyst - Transportation & Supply Chain Insights - Remote Opportunity with Walmart

Work from home Full-time role

Experienced Data Analytics Professional for Talent Data Insights - Work-from-Home Opportunity with Walmart

Work from home Full-time role

Experienced Data Entry Specialist for Remote Work Opportunities at Walmart - $28/Hour

Work from home Full-time role

Experienced Remote Data Entry Specialist for Delta Airlines - Part-Time Opportunity with Competitive Compensation

Work from home Full-time role

Experienced Data Entry Specialist for Delta Airlines - Remote Opportunity with Competitive Pay

Work from home Full-time role

Experienced Data Entry Specialist - Work from Home with United Airlines, Competitive Salary & Benefits

Work from home Full-time role

Experienced Operations Analyst for Remote Data Entry - Part-Time Opportunity with Sun Country Airlines

Work from home Full-time role

Experienced Strategy & Analytics Consultant - Data Entry & Business Intelligence for Remote Work at Southwest Airlines

Work from home Full-time role

Experienced Customer Service Representative – Remote Opportunity with arenaflex

Work from home Full-time role

Civil Engineer - Entry Level/EIT

Work from home Full-time role

Remote Role for Experienced HR Professionals – Flexible Structure

Work from home Full-time role

Integrated Maintenance Strategy and Implementation Consultant, Global Programme Division, Immunization, 7 months, CoE Nairobi, Kenya (Remote), Req: 593216

Work from home Full-time role

Home Concierge

Work from home Full-time role

Nursing Assistant 7C Surgical Acuity Adaptable

Work from home Full-time role

Scheduler

Work from home Full-time role

Tests Amazon Products Online For Cash

Work from home Full-time role

Genetic Counselor II​/Personalized Care Genetic Counseling​/Remote

Work from home Full-time role

Cardiovascular Specialist, Health and Science Professional - Eau Claire, WI

Work from home Full-time role