Lead Data Scientist

2 weeks ago

Canada Indegene Full time

Role: Lead - Data Scientist We are seeking a highly skilled Data Scientist with expertise in various modelling algorithms and MLOps to join our dynamic team. The ideal candidate will have a strong background in data science, machine learning, and operationalizing ML models and exposure to pharma patient analytics. You will work closely with cross‑functional teams to develop, deploy, and maintain machine learning models that drive business insights and innovation. Key Responsibilities Handle patient analytics projects with proficiency; domain expertise on one of Sales Force analytics, Payer analytics, digital analytics, or Brand Performance analytics is a value add. Design, develop, and implement machine learning models through EDA, feature engineering, and use of algorithms (e.g., regression, classification, clustering, neural networks, ensemble methods). Establish and maintain MLOps practices to ensure seamless deployment, monitoring, and maintenance of ML models in production environments. Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve accuracy and efficiency. Work closely with data engineers and business stakeholders to integrate ML models into applications and workflows. Document model development processes, assumptions, and results to ensure reproducibility and transparency. Stay updated with the latest advancements in AI/ML including LLMs, MLOps, to continually improve skills and knowledge. Desired Profile Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Experience: 5+ years of experience in data science and machine learning, with a focus on model development and MLOps. Domain Expertise: At least 2+ years in pharma patient analytics, preferably in patient journey predictions, KOL identification, HCP segmentation, Next Best Action. Technical Skills: Proficiency in programming languages such as PySpark, Python or R, and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit‑learn). MLOps Tools: Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Docker, Kubernetes) for model deployment and monitoring. Data Handling: Strong skills in SQL and experience with Snowflake, Dataiku, Databricks is a plus. Problem‑Solving: Excellent analytical and problem‑solving skills, with the ability to translate business problems into data science solutions. Communication: Strong communication and presentation skills, with the ability to explain complex concepts to non‑technical stakeholders. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Pharmaceutical Manufacturing Biotechnology Research Hospitals and Health Care #J-18808-Ljbffr

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