Data Scientist

Data is now more important than ever and the information distilled from it is crucial to make meaningful decisions. GeoIQ is a product developed by data scientists for data scientists. We obtain, visualize, and analyze data from heterogeneous sources to build smarter variables that aid decision-making. As a part of the data science team, you will be responsible for building predictive models and day-to-day analysis for our clients, building algorithms on the data collected from hundreds of sources to build location-defining attributes.

Responsibilities

• As a Data Scientist at GeoIQ, you will play a crucial role in extracting valuable insights from vast and complex datasets to support our hyperlocal location AI platform and enable businesses to make precise and data-driven decisions.
• Collaborate with cross-functional teams to understand business requirements and define data science project objectives.
• Collect, clean, and preprocess large-scale datasets from diverse sources to ensure data quality and suitability for analysis.
• Develop and implement machine learning algorithms and predictive models to solve business problems and optimize decision-making processes.
• Conduct in-depth data analysis, exploratory data analysis, and statistical hypothesis testing to identify patterns, trends, and insights.
• Use advanced statistical techniques and mathematical modeling to uncover relationships between variables and predict outcomes.
• Create and maintain data pipelines and automation processes for efficient data ingestion, transformation, and storage.
• Build and deploy data-driven dashboards, visualizations, and interactive reports to communicate findings to stakeholders effectively.
• Continuously monitor model performance, conduct A/B testing, and fine-tune models to improve accuracy and efficiency.
• Collaborate with software engineers to integrate machine learning models into production systems.
  
  

Requirements

• Proficient in Python.
• Work experience 1+ years Prior experience with building ML models.
• Prior experience with SQL.
• Experience in Classification Machine Learning Algorithms like Random Forest, XGBoost, Decision Tree, etc.
• Knowledge of statistical techniques.
• Experience with working on Spatial Data will be an added advantage.
  
  

This job was posted by Saurav Mehta from GeoIQ.