Job Location: Noida
Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that’s improving the lives of millions. Here, innovation isn’t about another gadget, it’s about making health care data available wherever and whenever people need it, safely and reliably. There’s no room for error. Join us and start doing your life’s best work.(sm)
Primary Responsibilities:
- Partner with senior business leadership team to develop strategic roadmap for analytics solutions which can be integrated as per business priorities
- Ideate and develop initiatives pipeline to which can be leveraged to optimize the business operations for Risk Adjustment Core Operations (RACO) team
- Lead the analytics solutioning and data science capability to support transformation initiative for RACO team
- Develop and deliver analytics solutions aligned with the business strategic roadmap through success proof of concept solutions
- Lead data science delivery teams working on advanced projects as an expert when assistance is required
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Post-graduate degree from a renowned institute in: MBA/Engineering (with a strong quantitative background)
- Experienced data science and analytics practitioner 15-18 years of experience in developing analytics solutions
- Worked in US Healthcare and have prior understanding of risk adjustment and clinical outcomes
- Consistent track record of building and successfully deploying analytics solutions with demonstrable value to the organization
- Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
- Strong theoretical and practical knowledge of some or most Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.
- Possess strong collaboration skills as well as the ability to build partnerships
- Ability to work well under pressure in a fast-paced environment
- Professional, service oriented, proactive and flexible
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