Senior Analytics Manager - Data Science Team

- Be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets.

- Contribute to technical teams in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics capabilities.

- Be a thought leader and guide data science at key customer partnerships - data strategy, labeling techniques, annotation and curation methodologies.

- Be an expert in industry wide available best in class open source tool stacks.

- Assist in building self-learning systems and move to predictive results based on multi parametric data sets.

- Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts.

- Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.

- Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation.

- Write technical reports summarizing development, analysis, training, validation, and testing of the algorithms.

Qualification:

- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)

- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

- Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets

- Over 5 years of experience.

- At least 3-5 years of strong experience in analytics.

- Strong experience in forecasting techniques and predictive modeling.

- Prior experience of working on insurance data preferred.

- Knowledge of atleast one visualization tool between Power BI / Tableau preferred.