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 data mining algorithms, and data analytics pipelines at Bolt. We’re looking for someone with the experience, creativity, and passion for producing world-class technology who can support our product, leadership and marketing teams with insights gained from analyzing our data. Other teams at Bolt, other 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.

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Responsibilities

• Build production ready data mining and big data analytics algorithms and pipelines; 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 statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic
• Work with other teams at Bolt to engineer data models and extract data insights 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
• Ability to formulate business problems into quantitative objectives and developing methodological solutions

Requirements

• MS/PhD in math, statistics, computer science, or other quantitative field
• 3+ years of experience in developing ML/statistical models in an applied setting
• Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling
• Knowledge of data mining, and big data analytics techniques
• Experience with big data processing pipelines and orchestration tools
• Mastery in SQL or other big data processing languages
• Experience with one of the programming languages such as Python, R, Java, Scala

Preferred

• Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda,