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Salary
≈ $14k – $33k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp

First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
Profile match
GeoIQ empowers business analysts to data scientists, to turn location data into business outcomes. Its platform and APIs offer insights on where things happen, why they happen and helps predict what will happen.

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.

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 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.
  • 2+ years of work experience.
  • Prior experience with building ML models.
  • Prior experience with SQL.
  • Knowledge of statistical techniques.
  • Experience working with spatial data will be an added advantage.
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