Data Scientist
@ Advance Auto Parts

Hyderabad, Telangana, India
$120,000
On Site
Full Time
Posted 20 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXXXX******* @advanceautoparts.com
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About Advance Auto Parts

Come join our Technology Team and start reimagining the future of the automotive aftermarket. We are a highly motivated tech-focused organization, excited to be amid dynamic innovation and transformational change. Our commitment is to empower our team members and delight our customers through world class technology solutions.

Key Responsibilities

  • Model Development & Technical Expertise: Design and implement predictive and prescriptive models for regression, classification, and optimization problems using advanced techniques such as structural time series modeling and boosting algorithms like XGBoost and LightGBM.
  • Machine Learning Implementation: Develop and tune models using Python, PySpark, TensorFlow, and PyTorch, writing efficient, production-ready code.
  • Collaboration & Communication: Work closely with stakeholders to translate business challenges into data science solutions and integrate models into business processes.
  • Monitoring & Visualization: Rapidly prototype, create automated workflows for model monitoring, and build dashboards with tools like Databricks and Palantir.
  • Agile Execution: Contribute to iterative development cycles in Agile environments, adapting to changing priorities while maintaining high standards.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.

Additional Information

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Key skills/competency

  • Data Science
  • Machine Learning
  • Python
  • PySpark
  • TensorFlow
  • PyTorch
  • Predictive Modeling
  • Boosting Algorithms
  • Agile
  • Dashboarding
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How to Get Hired at Advance Auto Parts

🎯 Tips for Getting Hired

  • Research Advance Auto Parts: Explore the company’s tech projects and culture.
  • Customize your resume: Highlight data science and machine learning skills.
  • Showcase projects: Include practical examples of model development.
  • Prepare for coding: Practice Python, TensorFlow and agile scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Python and PySpark libraries.
Practice TensorFlow and PyTorch coding.
Study boosting algorithms and model tuning.
Work on dashboarding techniques with Databricks.

Behavioral Questions

Explain teamwork in crisis situations.
Describe adapting to shifting project priorities.
Discuss effective communication with stakeholders.
Share experience in agile environments.

Frequently Asked Questions