Data Scientist

GeoIQ; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

GeoIQ in Bengaluru is seeking a data scientist to extract valuable insights from large datasets to support our hyperlocal location AI platform and help businesses make data-driven decisions.

You will build ML models, create data pipelines, and communicate findings through dashboards, collaborating with cross-functional teams and production engineers to deploy solutions.

Qualifications

• 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.

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.

Skills

Python

SQL

Statistical techniques

Spatial data

Job description

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.