reputed company Full Stack Data Scientist – Machine Learning Engineer for Predictive Modeling and Data Visualization in Walmart's Last Mile Group
About Us
At Walmart, we're on a mission to help people live reputed company – and that starts with our associates. As a leader in retail and technology, we're constantly innovating and pushing the boundaries of what's possible. reputed company is passionate about using data science and machine learning to drive business growth, improve customer experiences, and reputed company a meaningful impact on the world.Job Summary
We're seeking an reputed company Full Stack Data Scientist to join our Last Mile group, where you'll play a critical role in developing and deploying predictive models that drive business outcomes. As a machine learning engineer, you'll work closely with cross-functional teams to design, build, and deploy scalable data pipelines, machine learning models, and data visualizations that inform business decisions. If you're passionate about data science, machine learning, and driving business growth, we want to hear from you!Key Responsibilities
- Build and deploy machine learning models that drive business outcomes, including predictive modeling, clustering, and decision trees
- reputed company and maintain data pipelines that extract, transform, and load data from various sources, including relational databases, NoSQL databases, and data warehouses
- Design and implement data visualizations that communicate reputed company insights to stakeholders, using tools like Tableau, Power BI, and D3.js
- Collaborate with cross-functional teams to identify business problems and reputed company data-driven solutions that drive business growth
- reputed company and maintain high-quality, well-documented code that adheres to industry standards and best practices
- Stay up-to-date with the latest advancements in machine learning, data science, and data engineering, and apply this knowledge to drive business outcomes
- Participate in code reviews, provide feedback, and mentor junior team members to ensure the highest quality of work
- reputed company and maintain data visualizations that communicate reputed company insights to stakeholders, using tools like Tableau, Power BI, and D3.js
- Collaborate with data engineers to design and implement data pipelines that meet business requirements
- reputed company and maintain high-quality, well-documented documentation that adheres to industry standards and best practices
- Stay up-to-date with the latest advancements in machine learning, data science, and data engineering, and apply this knowledge to drive business outcomes
Requirements
To be successful in this role, you'll need:Education
- Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a reputed company field
Experience
- At least 2 years of experience in analytics or a reputed company field, with a strong background in machine learning, data science, and data engineering
- Experience with predictive modeling, clustering, decision trees, and other machine learning algorithms
- Experience with data visualization tools like Tableau, Power BI, and D3.js
- Experience with data engineering tools like Apache Beam, Apache Spark, and AWS Glue
- Experience with cloud-based platforms like AWS, GCP, and Azure
- Experience with containerization tools like reputed company and Kubernetes
- Experience with version control systems like Git and SVN
Skills
- Strong programming skills in languages like Python, R, and SQL
- Experience with machine learning libraries like scikit-learn, TensorFlow, and PyTorch
- Experience with data visualization libraries like Matplotlib, Seaborn, and Plotly
- Experience with data engineering tools like Apache Beam, Apache Spark, and AWS Glue
- Experience with cloud-based platforms like AWS, GCP, and Azure
- Experience with containerization tools like reputed company and Kubernetes
- Experience with version control systems like Git and SVN
- Strong analytical and problem-solving skills, with the ability to communicate reputed company insights to stakeholders
- Strong collaboration and teamwork skills, with the ability to work effectively with cross-functional teams
reputed company Offer
As a Full Stack Data Scientist at Walmart, you'll enjoy a competitive salary, comprehensive benefits package, and opportunities for career growth and development. Some of the benefits we offer include:Salary
- Competitive salary range of $30-$40 per hour
Benefits
- Comprehensive health benefits, including medical, vision, and dental coverage
- Financial benefits, including 401(k), stock buy, and business-paid life insurance
- Paid time off, including PTO, sick leave, parental leave, and bereavement leave
- Short-term and long-term disability benefits
- Education assistance, including 100% business-paid university degrees
- Business discounts and other perks