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Data Scientist - Time series and forecasting

Keystone AI · Asia · Posted 11d ago

remoteFull-timemidEstimated 78k-176k USD
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Available in 2 locations

Asia · remote Apply → India · remote Apply →

About the role

Develop and evaluate ML models for forecasting and classification use cases.

📋 Description End-to-end forecasting and classification use cases. Explore data and perform EDA to assess quality. Engineer features for tabular/time-series data. Train, validate, and tune ML models. Evaluate models using business KPIs. Create visuals and reports for stakeholders. 🎯 Requirements Experience with classical ML models (trees, ensembles, linear regression). Knowledge of customer analytics or advanced forecasting. Model hyperparameter tuning experience is a plus. Python fluency; SQL basics. Knowledge of DS/ML libraries. Cloud platform experience (Databricks, GCP, or Azure). 🎁 Benefits Stable employment; 1500+ talents across 7 sites. Office as an option: remote or in-office. Udemy e-learning access from day 1. Flexible hours and contract types. Autonomy to choose how you work. Promotions from within; 76% internal promotions.

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FAQ

Is the Data Scientist - Time series and forecasting role at Keystone AI remote?+

This Data Scientist - Time series and forecasting position is listed as remote (Asia).

What is the salary for the Data Scientist - Time series and forecasting role at Keystone AI?+

The listing states Estimated 78k-176k USD.

What seniority level is this Data Scientist - Time series and forecasting role?+

This is a mid level position.

How do I apply for the Data Scientist - Time series and forecasting role at Keystone AI?+

Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Keystone AI.