Back
Strong employer brand, generalist Data Scientist title, mid-level experience, metro location, broad skill requirements.
Skills are broadly transferable across industries; minimal domain-specific life-sciences requirements.
Explicit 3–5 years plus mandatory Python, PySpark, AWS, ML frameworks, and GenAI expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable data pipelines and machine learning models using Python, SQL, PySpark in AWS cloud.
Apply Generative AI techniques including LLMs and prompt engineering to develop innovative data products and automation.
Collaborate cross-functionally to translate business needs into data science solutions and contribute to deployment and monitoring of models using MLOps best practices.
3-5 years of experience in data science, machine learning, or applied AI.
Strong programming skills in Python and PySpark; strong SQL knowledge.
Hands-on experience with AWS services such as S3, Lambda, Glue, SageMaker, EMR.
Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and exposure to Generative AI (LLMs, prompt engineering, vector databases).
Experienced in designing scalable data processing workflows and cloud-based machine learning solutions on AWS.
Practically skilled in applying Generative AI technologies to real-world business problems.
Comfortable working independently and managing multiple projects while collaborating effectively with cross-functional teams.