Data Scientist

Job Summary

A VC-backed AI-powered location intelligence startup building geospatial analytics solutions that help enterprises make smarter decisions around expansion, customer insights, and operational efficiency through machine learning and predictive intelligence.

Responsibilities

• 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.
• Optimize decision-making processes using machine learning and predictive models.
• Conduct in-depth data analysis and exploratory data analysis to identify patterns, trends, and insights.
• Perform statistical hypothesis testing to identify meaningful insights from data.
• 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.
• 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.
• Data is now more important than ever and the information distilled from it is crucial to take meaningful decisions.
• The platform is developed for data scientists to 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 clients, building algorithms on data collected from hundreds of sources to build location-defining attributes.