bigshyft
GGeoIQ
GeoIQ
Sr. Data Scientist
Analytics
B2B
SaaS
Series A
Start-up
Product
Software
11-50 employees
3y - 6y

(Competitive pay)

Bengaluru/ Bangalore
Python, Machine Learning (ML), SQL

Role

Company

Job Description

What you'll do:

  • 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 modelling 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.

What makes you a great fit:

  • 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.
All about us
GeoIQ

GeoIQ is a locational intelligence platform that tells the value of each location - people, their behaviours, businesses, and potentials - as easily consumable layers on maps.

Employee count
11-50 employees
Employment Type
Full Time Job
Company Type
Start-up
Headquarters
Bangalore, Karnataka, India

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