Full-Time
Principal Data Scientist
Checkout experience platform
Senior
United States
- Degree in Computer Science, Computer Engineering, or related field
- 7+ years of experience building machine learning models for personalization, recommendation, or similar applications
- Thorough understanding of machine learning fundamentals and methodologies
- Experience building and deploying machine learning models in an applied setting
- Strong understanding of how to build scalable ML systems supporting online and offline applications
- Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML
- Familiarity with best practices of lifecycle management for ML models in industry
- Mastery of a programming language such as Python, Java, Scala
- PhD in computer science or related field
- Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc
- Industry experience in building large-scale recommendation systems in a consumer-based setting
- 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
- Be the go to technical individual contributing leader for all Data related questions, tasks, and projects at Bolt
Bolt’s mission is to democratize commerce by setting a new standard for buying and selling online. The company has created something unique with their checkout experience platform that levels the playing field to help retailers of all sizes sell more, grow faster, and be in control of their own destiny.
Company Stage
Series D
Total Funding
$699.5M
Headquarters
San Francisco, California
Founded
2014
6 month growth
↓ -7%1 year growth
↓ -3%2 year growth
↓ -19%Benefits
Comprehensive health coverage: Medical, dental & vision
Remote-first workplace
4 day work weeks
Time away: Flexible PTO, paid holidays + floating holidays and your birthday off
Equity Early Exercise Program
Paid parental leave
Phone, Utilities, and Wellness stipends
Competitive Pay
Retirement plans
Virtual and in-person team & company events