Data Scientist

We are looking for an experienced data nerd with a passion for all things numerical. This is an opportunity to work on end-to-end data science tasks, while gaining exposure to the data engineering side as well.

Day to Day Activities:

• Stakeholder Management & Communication:Collaborate with cross-functional stakeholders (e.g. Product, Marketing, Operations), influence decisions using data, and clearly explain insights to non-technical audiences (e.g. presenting model results to business teams).

• Applied Machine Learning (End-to-End):Build, validate, and deploy machine learning models that are used in production (e.g. churn prediction, demand forecasting, recommendation systems, fraud detection).

• Business Problem Translation:Translate business requirements into data science problem statements (e.g. converting increase bookings into a predictive or causal modelling problem, defining success metrics and evaluation approach).

• Software & Production Practices:Version control (Git), code reviews, reproducible workflows, and collaborating with data engineers or MLOps teams to productionize models.
  

Who We Are Looking For:

• 3 Years of Data Science experience in any relevant industry.

• Strong proficiency in Python, SQL, Databricks, and PySpark

• Experience with machine learning libraries such as scikit-learn and PyTorch

• Ability to work with large datasets and production-scale data pipelines.

• Solid understanding of statistics, experimentation, and model evaluation (e.g. feature engineering, cross-validation, performance metrics, A/B testing)

• Good to have knowledge and skills in AWS and GeoSpatial

• Strong personal alignment with our GetGo Values

  • Driven by Purpose

  • Stay Curious and Humble

  • Collaborate with Empathy

  • Make it Better

  • Get It Going!