Senior Data Scientist

Job Description
Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks,and constraints
Problem-solve with practice leaders to translate the businessprobleminto aworkableData Sciencesolution;
proposedifferent approachesand theirprosand cons
Work with practice leaders to getstakeholderfeedback, get alignment on approaches, deliverables, androadmaps
Develop a project plan including milestones,dates, owners, andrisks andcontingency plans
Create and maintainefficientdata pipelines, often within clients’architecture. Typically, data arefrom a wide variety of sources, internal and external, and manipulatedusing SQL, spark,andCloudbig data technologies
Assemble large, complex data setsfrom client and external sourcesthat meet functional business requirements.
Build analytics tools to provide actionable insights into customer acquisition, operational efficiency,and other key business performance metrics.
Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able tosummarize and describe data and data issues
Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findingstoward decision making
Train, validate, and cross-validate predictive models and machine learning algorithms usingstate of the artData Science techniques and tools
Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
Assist client todeploymodels and algorithmswithin their own architecture