Machine Learning Engineer

Factspan Inc

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Seattle, WA, us on site Until 8/21/2026 H-1B sponsor history First posted March 22, 2025 Last posted March 22, 2025
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.

  • 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 analysi
  • 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

  • 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.

About this role

Summary

Develop and deploy machine learning models, manage data pipelines, lead technical team, communicate progress.

Job title

Machine Learning Engineer

Experience level

3-8 years

Industry

analytics

Location requirements

Seattle, WA, US; remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

Yes

Skills & keywords

Required skills

pythonsqlawsjavadeep learning

Preferred skills

nlpdockertopic modelingsupervised learningunsupervised learning

Specializations

machine learningdata analysisawsnlppython
Locations

Structured locations inferred from the posting.

Seattle, WA, USA

On-site City