**Description** We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics. As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: + Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction + Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses + Define metrics and create dashboards to measure product performance + Generate insights through deep-dive analysis to inform strategy and prioritization + Collaborate with product, engineering, and marketing stakeholders to define the product roadmap + Identify opportunities and initiate new data science projects that drive company OKRs + Communicate technical insights effectively to influence decision-making **Qualifications** + You have a Master’s degree in a relevant quantitative field (e.g. **data science** , computer science, statistics, economics) or **equivalent in industry experience** + You have 5-8 years of experience as a data scientist supporting product development + You are an expert in **SQL** + You are proficient in either R or **Python** for data analysis + You have successfully developed and launched **ML models** with quantifiable business impact + You have experience designing and analyzing **A/B testing** experiments and guide product decisions with experimental insights + You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch **Job** Information Technology **Primary Location** India-Karnataka-Bengaluru **Schedule:** Full-time **Travel:** No **Req ID:** 251423 **Job Hire Type** Experienced Not Applicable #BMI N/A