Lead Data Scientist

 As the Lead Data Scientist, you will assume a pivotal leadership role, collaborating closely with Product Managers and Customer Success Managers to steer our data science team toward delivering solutions.  

What You’ll Do:  

• Marrying Traditional and Modern Techniques: Seamlessly integrate traditional statistical and mathematical modeling approaches with state-of-the-art AI/ML techniques.
• Illuminating the Black Box: Transform black box AI models into explainable models, utilizing xAI methodologies.
• Product Management: Oversee end-to-end data science implementations, from prioritization, ideation, problem definition to model development and deployment, ensuring deadlines and objectives are met.
• Data Virtuoso: Possess a strong background and knowledge of data engineering, data modeling, algorithms, and data science.
• Analytical Prowess: Exhibit familiarity with regression, boosting/bagging, segmentation, MMM (Market Mix Modeling), Forecasting and Deep Learning/NN techniques.

Experience You’ll Need:  

• Academic Excellence: Graduate from renowned institutions in the years from 2017 to 2019.
• Educational Background: Hold a bachelor’s degree in computer science, statistics/economics, or related fields.
• Invaluable Experience: Possess a minimum of 3 years of experience as a Senior Data Scientist, ideally in the US Healthcare Insurance domain.
• Extensive Track Record: Boast over 3 years of hands-on experience developing and implementing data-driven solutions, ideally in a corporate or consulting setting within the Healthcare industry.
• Technological Fluency: Command expertise in Azure, MLOps,  Python, Spark, TensorFlow and Big Data platforms like Apache Spark and Hadoop.