- Discover patterns and solve strategic business problems using both structured and unstructured data sets across many environments
- Develop predictive models and optimization models that drive better outcomes for customers, patients and SOC operations
- The first project will focus on predicting demand (volume) and matching up with optimized supply (physician resource). Understand levers to the physician supply requirements and provide capacity planning to optimize supply and demand equation while supporting excellent patient care
- Collaborate with business owners, gather requirement, determine the best fitting method of analysis, translate and articulate analytical results, make recommendations with common sense approach to a non-technical business audience including executive management, internal staffs and external customers
- Train and mentor team members as needed
The individual must possess the following knowledge, skills and abilities to be able to perform the essential functions of the job, with or without reasonable accommodation.
REQUIRED QUALIFICATIONS:
- Strong practical knowledge and experience of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, stochastic modeling, response modeling, lift modeling, experimental design, neural networks, data mining, Bayesian inference, text analytics and optimization techniques
- Desired skills include programming in multiple languages (i.e. SQL, R, Python), working with large data sets, data collection, data normalization, and data visualization.
- Ability to demonstrate professionalism, reliability, resourcefulness, flexibility, and attention to detail, and to maintain strict privacy of confidential data
- Successful track record of thriving in a fast paced, flexible, and dynamic environment
- Ability to manage multiple, concurrent projects of varying size and scope and core team activities in a fast paced environment. Ability to set reasonable timeline to meet objectives and prioritize conflicting deadlines
- Energetic and enthusiastic self-starter comfortable taking the initiative to develop new levels of analytics
- Ability to build consensus, collaborate and motivate others
- Ability to work independently and collaboratively
- A Bachelor’s degree in Statistics
- 1+ years of full-time work experience in data science, advanced analytics, machine learning and predictive analytics
- Experience driving large analytic projects, research and programs to completion