GeoIQ

Data is now more important than ever, and the information distilled from it is crucial to making meaningful decisions. GeoIQ is a product developed by data scientists for data scientists. We 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 our clients, building algorithms on the data collected from hundreds of sources to build location-defining attributes. Responsibilities 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 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. 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. This job was posted by Saurav Mehta from GeoIQ. Show more Show less

Responsibilities The frontend team is responsible for developing and maintaining GeoIQ's products. These use primarily React, Redux, and NextJS. Ship simple, approachable, performant, testable code. Our solution helps our users make visualisations and discover data using an intuitive UI. It is a powerful application whose frontend is built with React. You will dive into legacy code to understand and improve the current products. Facilitate and make informed technical decisions that drive the long-term vision for GeoIQ. Build workflow tools that enable our users to explore GeoIQ's data repository, visualise spatial data, and build no-code AI models. Solve complex architecture problems in an extensible, maintainable way. Brings clarity to complex technical problems across the organization. Participate in the design process by listening to users, attending design critiques, and providing guidance and feedback informed by a deep understanding of technical constraints. We have a passion for clean code. We achieve that through collaboration. Requirements Fluent and proficient in React with a minimum of 2 years of experience. Previous experience working with geospatial data would be a plus. Having Kotlin or Swift experience would be a plus. This job was posted by Saurav Mehta from GeoIQ.

Data is now more important than ever, and the information distilled from it is crucial to make meaningful decisions. GeoIQ is a product developed by data scientists for data scientists. We obtain, visualise, and analyse 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 our clients, building algorithms on the data collected from hundreds of sources to build location-defining attributes. Responsibilities Collaborate with the data science team to understand project requirements and objectives. Collect, clean, and preprocess data from various sources to ensure its accuracy and suitability for analysis. Develop and maintain data pipelines to automate data ingestion and transformation processes. Conduct exploratory data analysis to identify patterns, trends, and insights in large datasets. Utilise statistical techniques to perform data analysis and generate actionable insights for clients. Build and implement predictive models using machine learning algorithms to support decision-making processes. Create visualisations and dashboards to communicate analysis results and findings effectively. Collaborate with cross-functional teams to understand their data needs and provide analytical support. Continuously improve data quality, data integrity, and data security practices. Stay up-to-date with the latest trends and advancements in data analysis and machine learning. Assist in the development and improvement of GeoIQ's location AI platform through data-driven insights. Participate in team meetings and brainstorming sessions to contribute innovative ideas and solutions. Requirements Proficient in Python. Experience with R is a plus. Ability to analyse large datasets and draw insightful observations. Work experience of 1+ years with at least 6 months working with Python. Prior experience with data extraction, manipulation, and analysis. Prior experience with SQL. Knowledge of statistical techniques. Experience with working on Spatial Data will be an added advantage. This job was posted by Saurav Mehta from GeoIQ.

As an AVP - Analytics at GeoIQ, you will play a crucial role in shaping the data-driven decision-making processes within the organization. You will lead a dynamic team of analysts, work closely with cross-functional teams, and contribute to the development and implementation of analytics strategies. If you are a seasoned analytics professional with a strong background in data analysis, statistical modeling, and a passion for leveraging data to drive business outcomes, we invite you to join our team. Team Leadership The core responsibilities for the job include the following: Lead and mentor a team of analysts, fostering a collaborative and innovative work environment. Provide guidance on analytical methodologies, best practices, and professional development. Analytics Strategy Develop and execute the analytics strategy aligned with business goals and objectives. Collaborate with stakeholders to understand their data needs and requirements. Data Analysis And Modeling Conduct in-depth data analysis to extract actionable insights from structured and unstructured data sources. Utilize statistical modeling techniques to identify trends, patterns, and opportunities for optimization. Reporting And Visualization Oversee the creation of clear and impactful data visualizations and reports for internal and external stakeholders. Ensure the delivery of timely and accurate reports that support informed decision-making. Data Quality And Governance Establish and enforce data quality standards to ensure the accuracy and reliability of analytical findings. Implement and maintain data governance practices to safeguard sensitive information. Technology Integration Stay abreast of emerging analytics technologies and tools; recommend and implement improvements to existing analytics infrastructure. Requirements Bachelor's degree in a relevant field (e. g., Statistics, Data Science, Business Analytics). 7+ years of experience in data analysis, with at least 2 years in a managerial or leadership role. Proficient in data manipulation and analysis using tools such as SQL, Python, or R. Experience with data visualization tools (e. g., Tableau, Power BI). Strong understanding of statistical modeling and machine learning concepts. Excellent communication and interpersonal skills. This job was posted by Jancy Alice Challam from GeoIQ.