Machine Learning Engineer

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 set up environments on AWS and integrate different pieces of the solution.
• Develop data pipelines to integrate different data sources.
• Experienced in using Google, Amazon NLP APIs to parse data and analyze output.
• Experienced in using Amazon Dockers to develop and deploy the solution.
• Proficient in JAVA & Python programming.
• Understanding of topic modeling, supervised & unsupervised machine learning.
• Plan the project milestones, resourcing, and work distribution.
• Execute project in a timely manner, analyze risks and mitigate them.
• Able to lead a technical team of data scientists and engineers.
• Communicate the project progress, challenges, results, and next action items to stakeholders.

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 modeling, SQL, AWS.

Additional Information

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