We are looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. Essential Duties and Functions
- Understand the business objective and directly participate in the delivery of data science solutions to solve business problems.
- Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models.
- Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights.
- Build, test, validate models through various relevant methodologies, error metrics and calibration techniques.
- Validate the post-production model performance and calculate the ROI
- Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc.
- Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach.
- Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed.
- Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems.
- Communicate data science models’ complex results and the insights to the non-technical audiences.
- Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. Experience, Qualifications, Knowledge, and Skills
- Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics.
- Experience with healthcare and/or insurance data is a plus.
- Proficiency in SQL, Python/R, NLP and LLM
- 6-8 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes.
- Competent in machine learning principles and techniques.
- Experience with cloud-based data and AI solutions.
- Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)