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Factspan Inc

Seattle / Global

Machine Learning Engineer

Job Description

Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.

Job Description

Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.

Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysis

Requires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.

Develop data pipelines to integrate different data sources

Experienced in using Google, Amazon NLP APIs to parse data and analyse output

Experienced in using Amazon dockers to develop and deploy the solution

Proficient in JAVA & Python programming

Understanding of topic modelling, supervised & unsupervised machine learning

Plan the project milestones, resourcing and work distribution

Execute project in a timely manager, analyse risks and mitigate them

Able to lead a technical team of data scientist and engineers

Communicate the project progress, challenges, results and next action items to stake holders

Qualifications

3-8 years of experience

Bachelor’s/Master’s Degree in Engineering, Statistics, Mathematics

Excellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS

All your information will be kept confidential according to EEO guidelines.

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