Data Scientist

Job not on LinkedIn

🕒 May 19

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Viaduct

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 Series B on 2024-06

Automotive • Artificial Intelligence • SaaS

Viaduct is an AI platform designed to assist automotive original equipment manufacturers (OEMs), fleets, and suppliers in reducing quality costs and implementing predictive maintenance strategies at scale. By processing over 100 billion miles tracked via telematics and more than 100 TB of data monthly, Viaduct enables quality and maintenance leaders to minimize warranty expenses, predict vehicle health, and enhance preventative maintenance routines. The platform provides insights to identify high-risk vehicles early, aiding in servicing and maintenance before roadside failures occur. Viaduct offers various pricing plans tailored to different data needs and team sizes, supporting scalable and customized analytics solutions.

📋 Description

• Learn about Viaduct’s history and mission • Get to know every team member • Set up your development environment • Understand Viaduct’s data pipelines and data science workflow • Learn about our current partners, their biggest needs, and the gaps they're looking for us to fill • Present your first deliverables internally • Scope-out and propose improvements to our products • Deploy improvements to our ML/Agentic pipelines • Present your work at our weekly team meetings • Be a thought leader on the data science team • Deploy world-class DS-based products and services • Collaborate with engineers on improvements to data science tooling • Present your models and relevant metrics to stakeholders

🎯 Requirements

• Strong machine learning and statistical analysis skills • Comfort working side-by-side with customers • Strong presentation skills communicating technical concepts to non-technical audiences • Familiarity with working on datasets that don't fit within a single machine • Self-motivated and able to work independently • Excellent spoken and written communication skills • Minimum of advanced degree (M.S.) in a data science-related field, or 2+ years of experience in a related field • Proficiency in Python and SQL • Hands on experience with ML libraries (scikit-learn, xgboost, MLlib, etc.) • Familiarity with deep learning libraries (Tensorflow, Keras, PyTorch, etc.) • Working knowledge of distributed/cloud compute platforms (AWS, Hive, Clickhouse, Argo-workflows, etc.) • Developing agentic workflows • Experience deploying and maintaining data pipelines and DS-backed product features

🏖️ Benefits

• Follow our policy and procedure documents related to security and privacy • Follow the guidelines in the Employee Handbook • Participate in new hire and annual training for security and privacy • Treat data security and privacy as one of your primary job responsibilities • Report Security Incidents you discover as bugs • Get approval from the Security Team before adding new 3rd party software to our codebase • Explicitly consider security implications when doing PR reviews

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