Lead Data Scientist

Key Responsibilities: We are looking for experienced data science professional, who can handle commercial analytics projects with proficiency. Additionally, domains expertise on Sales Force analytics or Payer analytics or Patient or digital analytics or Brand Performance analytics will be a value add Model Development: Design, develop, and implement machine learning models through EDA, feature engineering and using a variety of algorithms (e.g., regression, classification, clustering, neural networks, ensemble methods) MLOps: Establish and maintain MLOps practices to ensure seamless deployment, monitoring, and maintenance of ML models in production environments. Model Evaluation: Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve accuracy and efficiency. Collaboration: Work closely with data engineers and business stakeholders to integrate ML models into applications and workflows. Documentation: Document model development processes, assumptions, and results to ensure reproducibility and transparency. Continuous Learning: Stay updated with the latest advancements in AI/ML including LLMs, MLOps, to continuously improve skills and knowledge. About you: Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Experience: 4+ years of experience in data science and machine learning, with a focus on model development and MLOps. Domain Expertise: Experience in pharma commercial analytics for at least 2+ years preferably in sales force targeting, patient journey predictions 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 in 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 Employer: Our client is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at our client are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

Created: 2024-11-10