TransOrg - Lead - Data Scientist

Why would you like to join us?

- TransOrg Analytics, an award-winning Big Data and Predictive analytics company, offers advanced analytics solutions and services to industry leaders and Fortune 500 companies across India, US, Singapore and the Middle East. Our products like Clonizo' yield significant business benefits to our clients. We were recognized by the CIO Review magazine as the Predictive Analytics Company of the Year and by TiE for excellence in entrepreneurship. Visit us at www.transorg.com for details.

Overview :

- TransOrg is seeking a highly-skilled Lead Data Scientist who is experienced in designing and developing analytical applications (with preference provided to insurance applications) and managing small-sized onsite and/or remote teams of data engineers, scientists and Visualization developers

Location : Helena/Montana.

Responsibilities :

- Perform data wrangling, a mashup of distinctive data sets, generate models/algorithms using statistical analysis, natural language processing, and machine learning.

- Generate insights/outcomes from these models/algorithms for business/user consumption and integrate these with the Tableau interface.

- Strategize and implement technical operationalization of models/algorithms for requirements/scenarios that require these models to generate scores on an on-going and automated basis (for example: production-alization of a predictive model that reads in incremental data, recalculates scores and presents this through the Tableau interface).

- Lead the work of an onsite team of 1 Lead Tableau Developer and a remote team of 1 Data Scientist and 1 Tableau Developer as well as a vendor team of 3 Big Data Engineers. Provide a consolidated weekly status report to the IT Director that will include the plan and status of all work performed by the team including the work done by the partial Workers

- Compensation Business Consultant/SME

- Collaborate closely with the other staff of the Big Data Ecosystem; namely Business, Data

- Engineering team, Big Data Administrators, Business Analysts and QA staff.

- Assist IT director and Workers Compensation Business Consultant/SME in business operationalization/adoption of insights/outcomes

Education & Skills Summary :

- Minimum of 5 years experience in creating data science models that involve traditional statistics (for example - Hypothesis Testing) and Machine Learning

- Experience must include both Python and R data programming languages with an emphasis on Python. Preference will be given if the candidate has worked on an additional language like PySpark.

- Minimum of 2 years experience in playing a lead role and handling similar-sized onsite/remote teams

- Preference will be given for candidates who have worked in a Big Data Ecosystem, i.e they have created data science algorithms off of a Big Data Lake and have familiarity with big data technologies like Hive and/or Impala

- Preference will be given for candidates who can demonstrate the use of Tableau for visualization of data science model outcomes

- Preference will be given for candidates who have experience with insurance clients (any insurance line of business).