Data Scientist

Key Skills

Java Programming, Python Programming, Framework, SQL, Azure, Machine learning techniques, Data science techniques, A/B Testing, Data Visualization, Data Modeling, Tableau, Algorithms, MLOps tools, Data Engineering, Dash framework

Job Description

The candidate will be responsible for the design and development of analysis models for a variety of purposes: understanding value propositions; developing insight into member and payer/provider performance and the variables affecting performance.

The ideal candidate for this position will come from a healthcare background and is a proactive thinker, self-starter, who enjoys working in a fast-paced and challenging environment with the ability to work independently

Role and Responsibilities:

• Participates in the development, validation and delivery of algorithms, statistical models and reporting tools ; Solves complex analytical problems
• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Explores, examines and interprets large volumes of data in various forms
• Performs analyses of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Uses data visualization techniques to effectively communicate analytical results and support business decisions
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Qualifications:

• Bachelor’s degree in Data Science, Statistics/Mathematics, Econometrics/Economics, Engineering/Computer Science, Business/Finance, or related quantitative field required; Master’s degree preferred
• 4-5 years of relevant analytic experience with focus in data modeling, research and analysis
• advance machine learning models, statistical Tests, PCA, clustering
• SQL, Python technologies
• study designs, power/sample size computations, (longitudinal) data analysis, survival analysis, Bayesian analysis, statistical modelling, and simulations
• Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization

• Experience building data science, machine learning and/or optimization models
• Strong knowledge of the underlying mathematical and statistical principles that are foundational to data science
• Experience building and utilizing a robust experimentation framework (e.g., A/B testing) to measure performance of deployed models
• Experience working with data visualization platforms (e.g., Tableau)
• High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously & meet deadlines.
• Capability to anticipate and timely communication of project roadblocks before they occur

Preferred Qualifications:

• Experience on Azure / snowflake
• Any MLOps skills
• Experimentation framework development skills

EEO/Minorities/Females/Vets/Disabilities

Please be aware that EXL requires all employees to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination. EXL is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.