Experienced Data Scientist – Part-Time Remote Data Entry Position with Competitive Hourly Rate of $19/Hour
About the Role
Are you a numbers-driven individual who thrives on solving complex business problems by uncovering insights and opportunities hidden within one of the world's largest data collections? As an Information Researcher at Walmart Worldwide Tech, you will have the unique opportunity to leverage your analytical skills to drive business decisions that have a significant impact at scale. Our part-time remote data entry position offers a competitive hourly rate of $19/Hour and the chance to work on exciting projects that tap your interests and expertise.About Walmart Worldwide Tech
Walmart Worldwide Tech is a leading technology company that empowers innovation and growth across the retail industry. With a strong commitment to data-driven decision-making, we are seeking a talented Data Scientist to join our team and contribute to the development of cutting-edge data science solutions. As a Data Scientist at Walmart, you will have the opportunity to work on a wide range of projects, from predictive modeling to data visualization, and collaborate with cross-functional teams to drive business outcomes.Key Responsibilities
As a Data Scientist at Walmart, you will be responsible for:- Developing and implementing data-driven solutions to drive business outcomes, including predictive modeling, data visualization, and statistical analysis.
- Collaborating with cross-functional teams, including business stakeholders, data engineers, and software developers, to design and implement data-driven solutions.
- Designing and implementing data pipelines to extract, transform, and load data from various sources, including relational databases, NoSQL databases, and cloud-based data warehouses.
- Developing and maintaining data models, including data warehousing, data mart, and data lake architectures.
- Providing data insights and recommendations to business stakeholders, including data visualization, statistical analysis, and predictive modeling.
- Staying up-to-date with emerging trends and technologies in data science, including machine learning, deep learning, and natural language processing.
What You'll Bring
To be successful in this role, you will need to bring the following skills and experience:- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
- Proven experience in data science, including data analysis, machine learning, and data visualization.
- Strong programming skills in languages such as Python, R, or SQL.
- Experience with data engineering tools, including data pipelines, data warehouses, and data lakes.
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with cloud-based data platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
Preferred Qualifications
While not required, the following qualifications are preferred:- Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience with machine learning frameworks, including TensorFlow, PyTorch, or Scikit-learn.
- Experience with natural language processing (NLP) and text analysis.
- Experience with data visualization tools, including Tableau, Power BI, or D3.js.
- Experience with cloud-based data platforms, including AWS, Azure, or GCP.
What We Offer
As a Data Scientist at Walmart, you will have the opportunity to work on a wide range of projects, collaborate with cross-functional teams, and develop your skills in data science and engineering. We offer a competitive hourly rate of $19/Hour, as well as a range of benefits, including:- Medical insurance, including health, dental, and vision coverage.
- Retirement plans, including 401(k) and other savings options.
- Companion discounts on Walmart products.
- Paid time off, including holidays and sick leave.
- Training and education opportunities, including tuition reimbursement and skill development programs.
- Employee assistance programs, including mental health support and employee wellness initiatives.