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 business problem into a workable Data Science solution; propose different approaches and their pros and cons

Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps

You will work as part of our global Data Science team to provide data driven AI solutions for our customers using state-of-the-art Machine Learning methods and tools.

Create and maintain efficient data pipelines, often within clients architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies

Assemble large, complex data sets from client and external sources that 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 to summarize and describe data and data issues

Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making

Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data 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