Ample Insight
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.
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Data Scientist – Data Analytics and Infrastructure
Job not on LinkedIn
September 6
Ample Insight
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.
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
📋 Description
• Design and maintain data infrastructure and analytics systems • Develop efficient, scalable pipelines for large, complex datasets • Automate workflows and enable reliable data analytics • Enable data accessibility across teams and implement analytics tracking • Deliver high-quality insights to directly impact business decisions • Collaborate with engineers and stakeholders on analytics requirements
🎯 Requirements
• BS (or higher, e.g., MS, or PhD) in Computer Science, Data Engineering, or a related technical field • Experience building and maintaining data pipelines and infrastructure in production environments • Proficient in SQL and data wrangling at scale (e.g., Spark, Airflow, dbt, etc.) • Strong grasp of statistics, data modeling, and performance tuning • Skilled in Python (Pandas, Numpy, etc.) and data visualization tools (e.g., Tableau, Power BI) • Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) • Ability to design data schemas and implement analytics tracking strategies • Strong problem-solving, communication, and collaboration skills
🏖️ Benefits
• Competitive compensation • Employees can work remotely • Work on cool projects based on your interests and skills • Accountability and NOT micro-management
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