Sr Analyst, Data Science

Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources

Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols

Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis

Communicate meaningful, actionable insights from large data and metadata sources to stakeholders

Responsible for quality of services and advice in meeting business partner needs

Responsible for end results of team and shares responsibility over resources, budget and adherence to policies

Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments

Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods

Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change

Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building

Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions