Seeking a Senior Data Scientist to develop, deploy, and industrialize machine learning solutions using structured and unstructured data across Commercial and Medical domains. This role will partner with business and technical teams to translate complex challenges into impactful, data-driven solutions while ensuring strong data quality, governance, model validation, and regulatory compliance.
- Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5+ years of experience in Data Science or related roles.
- Strong proficiency in Python and/or R.
- Strong SQL skills.
- Expertise in Machine Learning and Deep Learning techniques, including classification, regression, and forecasting.
- Experience developing end-to-end ML solutions, from concept and prototyping through production deployment and monitoring.
- Experience with cloud platforms such as AWS or GCP.
- Strong understanding of MLOps, including CI/CD, model versioning, performance monitoring, scalability, and reliability.
- Experience collaborating with Data Science Product Owners, Data Leads, ML Engineers, and MLOps teams.
- Commitment to data ethics, governance, model validation, and regulatory compliance.
- Healthcare or pharmaceutical industry experience.
- Experience with TensorFlow or PyTorch.
- Hadoop, Spark, or other big-data platforms.
- Predictive modeling, text classification, clustering, ROI analysis, and insight generation.
- Data visualization tools such as Tableau, Qlik, or Data Studio.
- Publications, open-source contributions, or relevant Data Science/ML/AI certifications.
Skills Required
- Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field
- 5+ years of experience in Data Science or related roles
- Strong proficiency in Python and/or R
- Strong SQL skills
- Expertise in machine learning and deep learning, including classification, regression, and forecasting
- Experience developing end-to-end machine learning solutions from prototyping through production deployment and monitoring
- Experience with cloud platforms such as AWS or GCP
- Strong understanding of MLOps, including CI/CD, model versioning, performance monitoring, scalability, and reliability
- Experience collaborating with Data Science Product Owners, Data Leads, ML Engineers, and MLOps teams
- Commitment to data ethics, governance, model validation, and regulatory compliance
- Healthcare or pharmaceutical industry experience
- Experience with TensorFlow or PyTorch
- Experience with Hadoop, Spark, or other big-data platforms
- Experience with predictive modeling, text classification, clustering, ROI analysis, and insight generation
- Experience with data visualization tools such as Tableau, Qlik, or Data Studio
- Publications, open-source contributions, or relevant Data Science, ML, or AI certifications
What We Do
Dawar Consulting Inc. is a professional services and staff augmentation firm specializing in IT consulting, workforce solutions, and HCM/HRIS services. They provide technology and business consulting, project delivery, and IT support to help clients achieve their strategic goals. With expertise across IT, Engineering, and Finance, they deliver best-in-class workforce solutions and innovative strategies to drive operational efficiency and business success.
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