Data Scientist

GeoIQ; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

GeoIQ is seeking a data scientist to extract insights from large datasets and support our hyperlocal location AI platform. You will collaborate with cross-functional teams, collect and preprocess data, and develop ML models to solve business problems.

The role requires 2+ years of experience, proficiency in Python and SQL, and knowledge of statistical techniques. Spatial data experience is a plus. Join our dynamic team in Bengaluru and help drive data-driven decisions.

Qualifications

• 2+ years of hands-on data science experience.
• Proficient in Python and SQL for data extraction, cleaning, and modeling.
• Experience building ML models and evaluating them.
• Knowledge of statistical techniques; spatial data experience is a plus.

Responsibilities

• Extract insights from large and complex datasets for a hyperlocal location AI platform.
• Collaborate with cross-functional teams to define project objectives and requirements.
• Collect, clean, and preprocess datasets from diverse sources to ensure data quality.
• Develop and deploy ML models to solve business problems and improve decision making.
• Perform exploratory data analysis and statistical testing to identify patterns and trends.
• Apply statistical modelling to uncover relationships and predict outcomes.
• Create data pipelines for ingestion, transformation, and storage.
• Build dashboards and interactive reports to communicate findings to stakeholders.
• Monitor model performance, run A/B tests, and fine-tune models for accuracy.

Skills

Python

SQL

ML Models

Spatial Data

Job description

Our agile team, consisting of 40+ members, is led by a founding team with extensive experience in data analytics, machine learning, and product development. Embrace the opportunity to collaborate with seasoned professionals in a dynamic and innovative work environment.

Responsibilities:

• 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 optimise 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, visualisations, 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 with working on Spatial Data will be an added advantage.