Data Scientist

📋 Description

• Develop ML models and pipelines to deliver automated insights at scale.
• Partner with customers to onboard and customize engines for client needs.
• Design analytics engines that integrate into Anaplan Applications.
• Lead technical deployment with Customer Success, Product and Engineering.
• Collaborate to translate data into actionable business insights.

🎯 Requirements

• Strong hands-on data science experience with production-grade models.
• Experience with ML/DL frameworks and time-series forecasting.
• Proficiency in Python, Pandas, and data tooling.
• Experience with SQL-based data pipelines and modern ML ops.
• Familiarity with cloud data platforms (Snowflake, Databricks) and dbt.
• Advanced modeling skills (XGBoost/LightGBM, PyTorch) and modeling workflows.

🎁 Benefits

• Collaborative culture with focus on customer success.
• Opportunity to work on AI-infused scenario planning at scale.
• DEIB commitment and inclusive work environment.