Summary: The Senior Data Scientist role focuses on leveraging advanced data science techniques to drive innovations. The primary objective is to apply generative AI and machine learning methods to solve practical challenges in collaboration with both startup and established technology practices.
Responsibilities:
- Utilizing machine learning techniques to solve real-world problems.
- Applying expertise in Generative AI and Large Language Models (LLMs).
- Implementing and optimizing natural language processing (NLP) or computer vision techniques.
- Developing scalable end-to-end machine learning solutions including data preprocessing and model evaluation.
- Working with cloud platforms and integrating MLOps practices.
- Analyzing large datasets for insights and model performance.
- Communicating technical concepts to non-technical stakeholders effectively.
- Collaborating on innovative solutions to complex data challenges.
Key Requirements:
- 5+ years of experience as a Data Scientist.
- Strong proficiency in Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).
- Experience with Generative AI and LLMs.
- Knowledge of statistics and mathematics.
- Excellent problem-solving and critical-thinking skills.
- Fluent in English (written and spoken).
Nice to Have:
- Programming skills in R, SQL, Java.
- Experience with big data tools (e.g., Hadoop, Spark, Kafka).
Other Details:
- This position is part of a modern software house focusing on GenAI, cloud computing, and advanced machine learning algorithms.
- B2B contract!
- Fully remote with occasional visits in the client’s office.