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AI & Data

Data Scientist

Filled

(Senior)

Senior Level

Role Overview

Develop and implement statistical and Machine Learning solutions across dimension reduction, time series, regression, and anomaly detection. Deploy, monitor, and improve cloud-based ML models at scale.

Core Responsibilities

Efficiently develop and implement statistical and Machine Learning (ML) solutions in varying domains (dimension reduction, time series, regression, anomaly detection, audio, etc.).
Deploy, monitor, and improve production cloud-based ML models.
Develop relevant and impactful analyses to create a deep understanding of business, market, products, and customers.
Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failure.
Contribute to the automation and standardization of MLOps pipelines, operations, and build systems.
Work closely with other product engineers to create/interpret/validate numeric models of fielded and in-test product
Adapt, learn, grow, and teach to deliver world-class products and solutions

Required Qualifications

Bachelor's Degree and 5+ years of work experience in data science, machine learning, or software development
Experience in Databricks and Heap
Experience developing and monitoring consumer-facing AI
Experience with TensorFlow or PyTorch
Experience in Python, SQL, Docker, and Git
Intermediate Experience with AWS and AWS CLI
Effective English communication