Overview
Position : Data Scientist with Data Engineering Skills
As a Mid to Senior Data Scientist with Data Engineering Skills, you will lead the design and development of data-driven solutions by leveraging your expertise in machine learning, statistical analysis, and scalable data infrastructure. You’ll work independently and with cross-functional teams to influence data strategy and analytics architecture. This role requires a strong blend of analytical mindset and engineering rigor to drive real-world impact from data.
Responsibilities
- Data Science : Develop and deploy RAG applications and chatbots using frameworks like LangChain and LangGraph.
- Process and vectorize unstructured documents and data for efficient retrieval.
- Engineer robust prompts and techniques to ensure consistent and accurate LLM outputs.
- Fine-tune open source LLMs on public or custom datasets using efficient fine-tuning methods.
- Develop and deploy machine learning models to support diagnostic insights, predictive outcomes, predictive equipment failures, operational forecasting, and related needs.
- Conduct in-depth data analysis to identify trends and generate actionable business insights, especially from medical and laboratory data and data from other industries.
- Collaborate with medical experts, product managers, and business analysts to define use cases and success metrics.
- Communicate complex data concepts clearly to both technical teams and non-technical stakeholders in healthcare and other industries.
Data Engineering
Design, build, and optimize scalable data pipelines and architectures to support data science workflows and real-time analytics.Ingest and process large volumes of structured and unstructured data from diverse sources such as diagnostic devices, EMRs, and IoT systems.Ensure high standards of data quality, security, and compliance—especially within regulated healthcare environments.Work with DevOps and software engineers to operationalize models and data products into production systems.Qualifications
Education & Experience : Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related discipline.3 to 5+ years of experience in data science, with at least 2–3 years of hands-on experience in data engineering or backend data workflows.Technical Skills :
High proficiency in Python and SQL.Hands-on experience with LangChain and LangGraph.Demonstrable experience building complex RAG systems.Experience using Tableau or other similar tools.Strong grasp of machine learning, deep learning, and statistical modeling.Experience working in regulated environments, with strong data sovereignty and on-premise deployment.Soft Skills :
Ability to work independently and take ownership of end-to-end solutions.Strong communication skills, especially in translating complex data concepts into business language.Mentoring experience or leadership in guiding junior data scientists or engineers is a plus.Comfortable operating in fast-paced, evolving environments.Benefits
Annual leave of at least 14-18 days per yearMedical leave in accordance with local labour lawsMonday to Friday work schedule (5 days)Monthly allowanceMedical benefitsTravel allowanceMaternity / paternity leaveCompany trips#J-18808-Ljbffr