Junior/Middle Data Scientist
About the Role
We are looking for a Junior/Middle Data Scientist to join our innovative team at Sber. This is a fantastic opportunity for a passionate individual to work in a hybrid environment, contributing to projects that involve Classic Machine Learning (ML) and Large Language Models (LLM). As a Junior/Middle Data Scientist, you will be part of a dynamic team that is dedicated to leveraging data to drive insights and solutions.
What You'll Do
- Develop and implement machine learning models to analyze data and extract valuable insights.
- Utilize libraries such as NumPy, Pandas, and Scikit-learn for data analysis.
- Apply your knowledge of ML theory, mathematical statistics, and probability theory to real-world problems.
- Collaborate with team members to build and enhance data-driven solutions.
- Participate in the development of NLP and GenAI projects, contributing your skills in these areas.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- At least 1 year of experience in machine learning, with a willingness to consider strong candidates with less experience who have impressive pet projects or competition participation.
- Deep understanding of ML theory, mathematical statistics, and probability theory.
- Experience with data analysis libraries and basic knowledge of Bash and Git.
- For LLM projects, experience with NLP and Generative AI is preferred.
Nice to Have
- Experience in building industrial solutions or pet projects involving LLM.
- Ability to decompose complex tasks and a proactive approach to problem-solving.
What We Offer
- Competitive salary and benefits package.
- Hybrid work model allowing flexibility in your work environment.
- Opportunities for professional growth and development.
- Access to cutting-edge technologies and tools.
- Supportive team culture that values collaboration and innovation.
This Junior/Middle Data Scientist role at Sber offers a unique opportunity to work on innovative ML and LLM projects in a hybrid environment. Competitive salary and growth potential make it an attractive position.
About Sber
Who Will Succeed Here
Proficient in Python for data manipulation and analysis, with a strong understanding of libraries like Pandas and NumPy, enabling efficient data processing and feature engineering.
Demonstrates adaptability in a hybrid work environment, thriving in both independent and collaborative settings, and effectively utilizing tools like Git for version control and Bash for task automation.
Possesses a foundational understanding of machine learning algorithms and natural language processing techniques, coupled with a passion for continuous learning and applying new ML frameworks, such as TensorFlow or PyTorch.
Learning Resources
Career Path
Market Overview
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