Sr. Data Scientist
2 weeks ago
๐๐ผ๐ฏ ๐ง๐ถ๐๐น๐ฒ: ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐ (๐ฐ+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ)
๐๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป: ๐๐๐ฑ๐ฒ๐ฟ๐ฎ๐ฏ๐ฎ๐ฑ, ๐๐ป๐ฑ๐ถ๐ฎ (๐ข๐ป-๐๐ถ๐๐ฒ ๐ผ๐ป๐น๐)
๐๐ผ๐บ๐ฝ๐ฎ๐ป๐: ๐๐ฒ๐ฒ๐ฝ๐ณ๐ผ๐ฟ๐ฟ๐ฒ๐๐.๐ฎ๐ถ
๐๐ฏ๐ผ๐๐ ๐จ๐
builds advanced AI solutions for the pharmaceutical industry, specializing in regulatory and compliance domains. Our teams work with state-of-the-art large language models (LLMs) and modern AI practices to deliver trusted, high-impact products for global pharma leaders.
๐ฅ๐ผ๐น๐ฒ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐
We are seeking an experienced Data Scientist with at least 4 years of professional experience. The ideal candidate will bring expertise in exploratory data analysis (EDA), advanced analytics, and NLP, while being hands-on with modern ML/DL frameworks and cloud ecosystems. You will collaborate closely with AI engineers building next-generation products in a fast-paced, high-impact environment.
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
1. Conduct rigorous EDA and advanced analytics to uncover insights and drive modelling strategies.
2. Build, train, and optimize models using scikit-learn and PyTorch.
3. Develop and evaluate NLP solutions for regulatory and compliance workflows.
4. Design and write robust evaluation frameworks to measure the performance and reliability of ML solutions.
5. Implement and manage end-to-end ML pipelines with MLflow and MLOps best practices.
6. Deploy and serve models using FastAPI, integrated with Postgres databases.
7. Work across Azure and AWS environments for scalable model training and deployment.
8. Collaborate with AI engineers developing state-of-the-art LLM-based systems for pharma.
๐ฅ๐ฒ๐พ๐๐ถ๐ฟ๐ฒ๐ฑ ๐ฆ๐ธ๐ถ๐น๐น๐ & ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ
1. 4+ years of hands-on data science experience.
2. Strong proficiency in Python for development and production-grade solutions.
3. Proven expertise in EDA, feature engineering, and advanced statistical analysis.
4. Practical experience with scikit-learn and PyTorch.
5. Prior experience delivering NLP-based projects.
6. Familiarity with FastAPI and backend integration.
7. Strong knowledge of MLflow, CI/CD pipelines, and DevOps practices.
8. Experience working with Azure and AWS cloud platforms.
9. Solid understanding of relational databases, especially Postgres.
๐ก๐ถ๐ฐ๐ฒ-๐๐ผ-๐๐ฎ๐๐ฒ
Exposure to pharma or regulatory/compliance domains.
Experience working alongside teams developing LLM-driven applications.
๐ช๐ต๐ฎ๐ ๐ช๐ฒ ๐ข๐ณ๐ณ๐ฒ๐ฟ
A chance to work on cutting-edge AI for real-world impact in pharma.
Collaborative, innovation-driven team environment.
- Opportunity to sharpen expertise in modern AI and NLP with domain-specific challenges.
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