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.
Responsibilities Design and implement AI-driven solutions across domains such as LLMs, Generative AI, NLP, and Computer Vision. Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications. Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products. Work with engineers and product teams to embed AI capabilities into platforms and workflows. Optimize AI models for accuracy, scalability, and efficiency in production. Stay up to date with advancements in Generative AI, foundation models, and applied AI frameworks. Requirements Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. 1-2 years of experience in building and deploying AI applications. Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and Scikit-learn. Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models. Familiarity with cloud platforms (AWS, GCP, Azure)and containerization (Docker, Kubernetes a plus. Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS)is desirable. Strong problem-solving skills with the ability to translate business needs into applied AI solutions Excellent communication and cross-team collaboration skills. Experience with Generative AI (LLMs, diffusion models, multimodal AI). Familiarity with RAG, orchestration frameworks (LangChain, LlamaIndex, Haystack). Exposure to MLOps/AI Ops practices and CI/CD pipelines for AI workflows. Contributions to AI/ML open-source projects. This job was posted by Jancy Alice Challam from GeoIQ.
As an AVP - Analytics at GeoIQ, you will play a crucial role in shaping the data-driven decision-making processes within the organisation. 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 modelling, 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 Modelling Conduct in-depth data analysis to extract actionable insights from structured and unstructured data sources. Utilise statistical modelling techniques to identify trends, patterns, and opportunities for optimisation. Reporting And Visualisation Oversee the creation of clear and impactful data visualisations 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 visualisation tools (e. g., Tableau, Power BI). Strong understanding of statistical modelling and machine learning concepts. Excellent communication and interpersonal skills. This job was posted by Jancy Alice Challam from GeoIQ.
Description As the Lead Data Scientist, you will build upon your foundational data science skills to guide the team in creating and implementing cutting-edge solutions. Responsibilities Mentor a team of data scientists, providing guidance and support in solving complex business problems through data-driven insights. Collaborate with cross-functional teams to define project objectives and align data science initiatives with business requirements. Oversee the collection, cleaning, and preprocessing of large-scale datasets, ensuring data quality and suitability for analysis. Drive the development and implementation of machine learning algorithms and predictive models to optimise decision-making processes. Conduct in-depth data analysis, exploratory data analysis, and statistical hypothesis testing to uncover patterns, trends, and actionable insights. Utilise advanced statistical techniques and mathematical modelling to predict outcomes and identify relationships between variables. Lead the creation and maintenance of data pipelines and automation processes for efficient data ingestion, transformation, and storage. Oversee the building and deployment of data-driven dashboards, visualisations, and interactive reports to effectively communicate findings to stakeholders. Continuously monitor model performance, conduct A/B testing, and fine-tune models to enhance accuracy and efficiency. Collaborate with software engineers to integrate machine learning models seamlessly into production systems. Requirements Proficiency in Python. Minimum of 6 years of relevant work experience as a Data Scientist, with a minimum of 1 year of team handling experience. Proven experience in building machine learning models. Proficiency in SQL. Knowledge of statistical techniques. Experience working with Spatial Data is an added advantage. (ref:hirist.tech)
Description We're looking for a Product Manager (Ops-Tech) to join our Store Growth Pod, a team focused on improving performance across existing stores using automation and data intelligence. In this role, you'll build internal tools, automate data workflows, and drive insights that help business and retail teams make faster, smarter decisions. Responsibilities Build and own Agentic and data-driven systems that improve same-store sales performance. Partner with Data Engineering to automate data pipelines for store metrics such as sales, footfall, and staffing. Develop internal tools and dashboards that surface actionable insights for retail and operations teams. Identify manual processes and design automations to replace them with scalable workflows. Collaborate with stakeholders across business, tech, and analytics to define requirements and ship impactful solutions. Track the business impact of every product initiative through clearly defined metrics. Requirements 4 - 7 years of experience in Product Management, preferably in Ops-Tech, Growth, or Data Platform roles. Strong foundation in data and analytics, able to work with SQL, BI tools, and API integrations. Understanding of data engineering workflows and experience defining data requirements for pipelines. Hands-on coding or scripting experience (Python, SQL, or similar) is a strong plus. Experience in retail, e-commerce, or operations technology is highly preferred. Excellent analytical thinking, prioritization, and stakeholder management skills. (ref:hirist.tech)