Senior Data Scientist and Machine Learning Expert
7 days ago
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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