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reputed company Full Stack Data Scientist – Machine Learning Engineer for Predictive Modeling and Data Visualization in reputed company's Last Mile Group

Remote, USAFull-timePosted 2026-07-29

reputed company

At reputed company, 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 reputed company, improve customer experiences, and reputed company a meaningful reputed company on the world.

Job reputed company

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 reputed company. As a machine learning engineer, you'll work closely with cross-functional teams to design, build, and reputed company reputed company data pipelines, machine learning models, and data visualizations that inform business reputed company. If you're passionate about data science, machine learning, and driving business reputed company, we want to hear from you!

Key Responsibilities

  • Build and reputed company machine learning models that drive business reputed company, including predictive modeling, clustering, and decision trees
  • reputed company and maintain data pipelines that extract, reputed company, 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 reputed company
  • reputed company and maintain high-reputed company, reputed company-documented reputed company 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 reputed company
  • Participate in reputed company reviews, reputed company feedback, and mentor junior team members to ensure the highest reputed company 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-reputed company, reputed company-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 reputed company

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 reputed company, Apache reputed company, and AWS Glue
  • Experience with reputed company-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 reputed company, Apache reputed company, and AWS Glue
  • Experience with reputed company-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 reputed company, you'll enjoy a competitive salary, comprehensive benefits package, and opportunities for career reputed company and development. Some of the benefits we offer include:

Salary

  • Competitive salary reputed company of $30-$40 per hour

Benefits

  • Comprehensive health benefits, including medical, reputed company, and dental coverage
  • Financial benefits, including 401(k), stock buy, and business-reputed company life insurance
  • reputed company time off, including PTO, reputed company leave, parental leave, and bereavement leave
  • Short-term and long-term disability benefits
  • Education assistance, including 100% business-reputed company university degrees
  • Business discounts and other perks

Why Join Us?

At reputed company, we're committed to helping people live reputed company – and that starts with our associates. As a Full Stack Data Scientist, you'll have reputed company to work on high-reputed company reputed company that drive business reputed company, improve customer experiences, and reputed company a meaningful reputed company on the world. You'll also enjoy a reputed company and dynamic work environment, with opportunities for career reputed company and development.

How to Apply

If you're passionate about data science, machine learning, and driving business reputed company, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job

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