Senior Data Scientist and Machine Learning Expert

7 days ago


San Francisco, California, United States EPAM Systems Full time

About EPAM Systems

EPAM Systems is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities.

We Offer

  • A highly competitive salary range of $160K - $170K per year, based on your qualifications and experience.

About the Role

We are seeking a Senior Data Scientist and Machine Learning Engineer to contribute to our team's innovative projects and deliver cutting-edge solutions. Your expertise in machine learning will help us develop and optimize data models and pipelines using Python and relevant data processing frameworks.

Responsibilities

  • Develop and optimize data models and pipelines, utilizing Python and relevant data processing frameworks.
  • Engage in data analysis to derive insights and make data-driven decisions.
  • Implement basic machine learning models to enhance data functionality and value.
  • Contribute to the development and maintenance of on-device ML applications.
  • Participate in problem-solving activities by leveraging SQL, Python, and data engineering competencies.

Requirements

  • A strong understanding of database engineering, data modeling, and software development practices.
  • Extensive experience working with machine learning, including running ML models on devices such as TensorFlow & TensorFlow Lite.
  • Expertise in the machine learning pipeline and data management process.
  • The ability to debug and modify existing machine learning models within a company's ecosystem.
  • Comfortable with machine learning model building, training, testing, and deployment.
  • Hands-on with utilizing Python for data manipulation and exposure to LeetCode-style problems.
  • Proficient in data analysis and the Pandas library for Python.
  • Highly skilled in SQL for data management and analysis.
  • A history of working with data fetching, data processing, and preparing data for machine learning tasks.
  • Familiarity with AWS for data preprocessing and running ML models, as well as the broader big data ecosystem and cloud services.

Benefits

  • Medical, dental, and vision insurance (subsidized).
  • Health savings account.
  • Flexible spending accounts (healthcare, dependent care, commuter).
  • Short-term and long-term disability (company provided).
  • Life and AD&D insurance (company provided).
  • Employee assistance program.
  • Unlimited access to LinkedIn learning solutions.
  • Matched 401(k) retirement savings plan.
  • Paid time off.
  • Legal plan and identity theft protection.
  • Accident insurance.
  • Employee discounts.
  • Pet insurance.
  • Employee stock purchase program.


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