Pune, Maharashtra, India
Information Technology
Full-Time
GeoIQ
Overview
Data is now more important than ever, and the information distilled from it is crucial to making 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
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.
- Proficient in Python.
- Work experience 2+ years.
- Prior experience with building ML models.
- Prior experience with SQL.
- Knowledge of statistical techniques.
- Experience with working on Spatial Data will be an added advantage.
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