Sr. Data Scientist

Role: Data Scientist – Pharma/Healthcare (ML & MLOps) Experience: 12+ years. Mode: 100% Remote Visa: Independent Candidate only Must-have skills, Pharma / Healthcare domain experience. ML Algorithms (Regression, Classification, Clustering, Recommendation Systems) Develop and deploy ML/AL models and understand Evaluation metrics Hands-on MLOps frameworks (MLflow, Kubeflow, Airflow) Experience in model versioning, CI/CD pipelines, and monitoring ML models Familiarity with cloud platforms (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.) Python, SQL, R Data visualization libraries (Matplotlib, Seaborn, Plotly, Power BI, Tableau) ETL, data pipelines, and data transformation big data tools (Spark, Hadoop, Databricks) API integration skills (REST/SOAP for data ingestion) Hands-on with web analytics tools (Google Analytics, Adobe Analytics, etc.) Experience analyzing customer behavior, content engagement, and conversion patterns Exposure to A/B testing, customer journey analysis, or recommendation systems Prior experience in Pharma Commercial Analytics or Healthcare Data Science Understanding of HCP (Healthcare Professional) or Customer migration analytics Knowledge of Pharma marketing, sales data, and compliance standards Experience in stakeholder communication, requirements gathering, and value realization Job Type: Contract Pay: From $60.00 per hour Experience: Healthcare / Pharma Domain: 2 years (Required) ML Algorithms ad Framework: 3 years (Required) Python, SQL, ETL, API, Big Data Tools: 3 years (Required) Work Location: Remote