Data Science Engineer / Life Sciences Experience RWD/RWE / Healthcare Experience at Norstella | Torre

Data Science Engineer / Life Sciences Experience RWD/RWE / Healthcare Experience

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Full-time

Legal agreement: Contractor

Currency exchange and payroll taxes to be paid by:

Company

Compensation USD40/hour
Negotiable
location_on
Remote (for USA residents)
Posted 20 days ago

Responsibilities


Job Details: - Job Title: Data Science Engineer. - Location: Remote. - Visa: US-CITIZEN, H4EAD, GREEN CARD - W2. Role Expectations: - Individual Contributor (IC) role focused on algorithm design. - Solving complex business problems. - Analytical decision-making. - Deployment and production activities will primarily be handled by engineering teams. Most Important Skills: - Deep algorithmic and statistical reasoning is the top differentiator. - Problem structuring. - Model selection and justification. - Independent analytical thinking. - Python, cloud platforms, and technical tools are considered secondary. Statistical Expertise Required: - Strong understanding of statistical concepts and principles. - Ability to validate models. - Selection of appropriate evaluation metrics based on business and data context. Professional Requirements: - Minimum 2 years of industry experience in data science or machine learning. - Strong background in NLP, LLMs, and generative AI, including both theory and tooling. - Familiarity with modern LLM stacks such as LangChain, LlamaIndex, CrewAI, or similar. - Skilled in traditional ML methods using libraries like scikit-learn, XGBoost, etc. - Expert-level Python programmer capable of writing clean, maintainable, and testable code beyond notebooks. - Experience exposing models as production-ready APIs using FastAPI or similar frameworks. - Strong understanding of AWS services, especially ECS, Lambda, and S3. - Experience with MLOps and DevOps best practices, such as Docker, Terraform, Azure DevOps, and Github Actions. - Proven ability in system architecture, problem-solving, and independently leading projects from concept to deployment. - Comfortable working independently in a fast-paced, collaborative, remote-first environment.
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