Ample Insight
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
Ample Insight is a company that specializes in delivering innovative Artificial Intelligence (AI) solutions to businesses across various industries. They offer a wide range of services, including building AI minimum viable products (MVPs), enhancing AI performance, and integrating AI into existing products. Their proprietary platform, Atlas, acts as a data science co-pilot, facilitating data profiling, observability, and automated issue resolution to accelerate AI development. Ample Insight focuses on providing tailored solutions with expertise in AI, machine learning, data engineering, and product development to help organizations realize the full potential of AI.
Lead Data Scientist
Job not on LinkedIn
🕒 April 1
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Ample Insight
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
Ample Insight is a company that specializes in delivering innovative Artificial Intelligence (AI) solutions to businesses across various industries. They offer a wide range of services, including building AI minimum viable products (MVPs), enhancing AI performance, and integrating AI into existing products. Their proprietary platform, Atlas, acts as a data science co-pilot, facilitating data profiling, observability, and automated issue resolution to accelerate AI development. Ample Insight focuses on providing tailored solutions with expertise in AI, machine learning, data engineering, and product development to help organizations realize the full potential of AI.
📋 Description
• Partner closely with our clients' executive and technical teams to guide decisions relating to AI, analytics, data engineering and data in general • Proactively identify and champion projects that solve complex problems across multiple domains • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to clients' businesses • Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes • Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
🎯 Requirements
• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics • 3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teams • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals • Experience building data pipelines and driving ETL design decisions • Experience delivering business impact through analysis and data products • Technical leadership and management experience • Experience creating data product strategies, shipping data products, iterating after launch • Strong ability to prioritize and communicate to technical and non-technical audiences alike • Working knowledge of Snowflake • Devops experience a plus
🏖️ Benefits
• Competitive compensation • Work on cool projects based on your interests and skills • Accountability and NOT micro-management
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