Company Name:-
Bolt

Job Location:-
San Francisco, CA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionWe are witnessing a massive shift of consumer presence from offline to online.

With it, there is a need for technologies that enable online businesses to thrive.

Bolt is at the center of this universe leading the next generation of ecommerce, having created a best-in-class buying experience from checkout to fraud detection, payments and more.

With our help, retailers can successfully compete with the online retail giants that have the means to invest in technology.

The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.

We are looking for someone to play a mission-critical role in designing and building the machine models (fraud detection, categorization, recommendation, personalization, price analysis, etc) that powers Bolt.

This should someone with experience, creativity, and passion for producing world-class technology.

Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility.

If challenges excite you, and you’re ready for a large one, let us know.

You will:
Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build machine learning infrastructure, data pipelines and production ready services to serve live traffic
Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business
About you:
Passion to improve e-commerce businesses
Strong communication skills in a cross-functional team
Unrelenting focus on impact
Bachelor’s degree in relevant technical discipline (or equivalent experience)
Software Engineering background in a team-oriented software development environment
4+ years of machine learning experience
Mastery of a scientific computing language (R or Python) and SQL; experience with data analysis and statistics
Our stack:
AWS Lambda for data ingestion and Kinesis Firehose to transport them into S3
Step functions and Lambdas to coordinate work

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