Lead Machine Learning Scientist

December 12, 2024

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Logo of Strong Analytics

Strong Analytics

Strong Analytics is a company specializing in building bespoke data science, machine learning, and artificial intelligence solutions. They work with companies to design and deploy custom end-to-end ML/AI products across various industries, including technology, pharmaceuticals, retail, energy, automotives, and gaming. Strong Analytics provides platforms that accelerate innovation in data science and is known for its technical expertise and collaborative approach. They have partnered with OneSix, a leader in data engineering, to deliver a comprehensive suite of data and AI solutions aimed at unlocking the transformative value of AI for enterprises. Their platforms include reinforcement learning, machine learning pipelines, and deep learning vision models, tailored to improve marketing strategies and optimize business operations across industries.

Data Science β€’ Machine Learning β€’ Data Visualization β€’ Predictive Analytics β€’ Data consulting

πŸ“‹ Description

β€’ Strong Analytics is seeking Lead Machine Learning Scientists to collaboratively design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. β€’ Lead ML Scientists are mission-critical at Strong who lead project teams, design project scopes, work directly with clients, and iterate on solutions. β€’ Requires a deep expertise in applying data science and machine learning to real-world problems. β€’ Help create generalized solutions out of specific use cases and identify areas of opportunity and improvement within projects.

🎯 Requirements

β€’ Applicants must reside in either the US or Canada β€’ 3+ years of experience shipping machine learning-based products β€’ Statistical modeling and hypothesis testing β€’ Designing, training, and validating results from machine learning algorithms β€’ Writing clean, efficient SQL β€’ Building and testing Python applications β€’ Building deep neural networks with modern tools, such as PyTorch or Tensorflow β€’ Collaborating via Git β€’ Ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits

πŸ–οΈ Benefits

β€’ Competitive salary β€’ 100%-covered Health insurance for employees, 75%-covered dependents β€’ Four weeks PTO β€’ 401(k) with employer contribution matching β€’ Personalized monthly perks with matched charitable donations β€’ A 100% remote work environment with highly protected work/life balance

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