In this role you will be responsible for thinking strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process - supporting sophisticated analytical and data mining efforts which could include clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis.
We work with healthcare companies to identify winning strategies, co-develop self-service analytics solutions with the service line teams, and obtain internal approvals and customer acceptance. We are passionate about the Healthcare industry s realities (also growing into niche Life Science service lines too), tackling business challenges using analytical techniques and building digital tools. How do we do this With a multi-lingual team consisting of business analysts, data scientists, and data engineers collaboratively tasked to develop and help institutionalize models and dashboards for various Business and Analytic units at a leading Healthcare client.
Come, be a part of our core healthcare analytics team responsible for developing real-time understanding of business problems and testing analytical prototypes to craft solutions which truly fits customer needs
Responsibilities
Work with key business partners to understand the business challenges, solution objectives, test hypotheses and generate prototypes to demonstrate feasibility
Slice and dice through datasets and present significant analytical insights
Be a key driver of analytics insights working alongside technical and domain SMEs and to bring value through disciplined iterative Agile data exploration and statistical analytics skills
Own the design of complex and large-scale datasets to be used for statistical modeling
Work in a dynamic and fast-paced environment without compromising the quality
Conduct explanatory data analysis and prepare data sources to be analyzed
Educational Qualifications
Master s degree with specialization in statistics, applied mathematics, economics, finance, computer science or Information systems/science; preference given to candidates with demonstrated academic achievement in core subjects and proficiency in quantitative subject matter (Advanced Statistics coursework, Predictive Modeling projects) MBA and Masters / PhD in Math or Computer Science
Robust analytics experience
Required Competencies
You should have proven track record to quantitatively analyze data with languages such as Python, SciPy, NumPy, R, (with additional credit given for additional knowledge of SAS, SPSS) with SQL experience being foundational.
Experience developing ML models using identified features and packages (Forecasting & Prediction Models, Outlier Reporting, Payment Integrity violation identification) using data analytical methods such as regression, decision trees, experimental designs, support vector machines, text mining and implementation of Supervised and Unsupervised model development techniques; develop text mining NLP techniques to identify topics and insights (TF-IDF scoring, MCMC) using NLP frameworks and libraries like NLTK, Stanford Parser, Keras, Gensim, SpaCy, etc.
Experience with relational database management systems (Oracle, Teradata, Netezza, SQL Server, DB2, etc.)
Experience with modern big data technologies (Hadoop, Spark, HIVE, Athena)
Proficiency with Microsoft Office Suite
Healthcare Payer experience is required with demonstrable and strong domain knowledge
US health economics knowledge will be added advantage
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
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Genpact (NYSE: G) is a global professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage. We do this by integrating lean principles, design thinking, analytics and digital technologies with our domain and ...