Data Scientist

The role

You will design and develop functional analytic engines that integrate into Anaplan Applications. You will build ML models and pipelines to provide automated business insights and partner with customers to customize these models for their specific needs.

What you will do

• Lead technical deployment of engines for new clients
• Partner with customers, Customer Success, Product, and Engineering to customize ML models
• Design and develop scalable functional analytic capabilities
• Design, train, and implement Machine Learning and Deep Learning models
• Build and optimize scalable data pipelines using SQL and Python
• Partner with engineers to transition models from prototype to production pipelines

Required qualifications

• Professional experience in Data Science building and deploying systems from prototype to production
• Experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting
• High proficiency in Python, Pandas, and modern software practices including testing, clean code, code review, and CI/CD
• Experience optimizing data models and access patterns for modern data warehouses using SQL and dbt
• Experience working with scalable cloud infrastructure such as AWS, GCP, or Azure
• Experience handling columnar data formats like Parquet
• Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production

Nice to have

• Background in supply chain forecasting, enterprise AI, or retail analytics
• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field

About the company

Anaplan is a team of innovators focused on optimizing business decision-making through an AI-infused scenario planning and analysis platform. Their customers include global companies such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer.