Lead Data Scientist

Join our trailblazing team at the forefront of the healthcare industry’s transformation. We are revolutionizing the field with our Product First strategy, harnessing the fusion of business acumen, mathematical expertise, and cutting-edge technology. Our mission is to drive profitable growth for our clients by developing New Age solutions powered by AI/ML algorithms, delving deep into vast data repositories.  

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 groundbreaking solutions. 

What you will get to do:

• Data Science Strategy Ownership: Spearhead the strategic vision and initiatives for data science, playing a pivotal role in supporting the product roadmap. 
• Ignite Creative Problem Solving: Foster a culture of innovative thinking, tackling complex business problems with ingenuity and fresh perspectives. 
• 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. 
• Hands-on Collaboration: Dive into the trenches alongside our brilliant data scientists, ensuring the realization of our ambitious objectives. 
• Building and Empowering the Dream Team: Recruit, guide, and coach our Data Science team, scaling their capabilities to match our rapid growth trajectory. 
• Thought Leadership Pioneering: Make your mark in the industry by contributing to thought leadership through whitepapers, articles, and conference presentations. 

Experience You’ll Need:

• Academic Excellence: Graduate from renowned institutions in the years from 2017 to 2019. 
• Invaluable Experience: Possess a minimum of 3 years of experience as a Product Analyst, ideally in the US Healthcare Insurance domain. 
• Master of the Craft: Hold a Master’s degree in machine learning, mathematics, computer science, statistics/economics, or related fields. 
• Extensive Track Record: Boast over three years of hands-on experience developing and implementing data-driven solutions, ideally in a corporate or consulting setting within the Healthcare industry.