Data Scientist Specialist

Role Overview: A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. You must have a proven ability to drive business results with your data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: - Identify valuable data sources and collection processes - Supervise preprocessing of structured and unstructured data - Analyze large amounts of information to discover trends and patterns for the insurance industry - Build predictive models and machine-learning algorithms - Combine models through ensemble modeling - Present information using data visualization techniques - Collaborate with engineering and product development teams - Hands-on knowledge of implementing various AI algorithms and best-fit scenarios - Has worked on Generative AI based implementations Qualifications Required: - 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience - Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java, or C++ - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications - Hands-on experience in Azure/AWS analytics platform (3+ years) - Experience using variations of Databricks or similar analytical applications in AWS/Azure - Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) - Strong mathematical skills (e.g. statistics, algebra) - Excellent communication and presentation skills - Deploying data pipelines in production based on Continuous Delivery practices Additional Information: Omit this section as it does not contain any relevant details regarding the company. (Note: The job description does not include any additional details about the company.),