Description

About Zara Inforise Zara Inforise is a technology-driven organization specializing in liquor-enabled technology, kiosk solutions, and next-generation services. Operating across multiple cities, the company helps enterprises stay ahead of innovation through strategic consulting, big data, cloud computing, sustainability, and mobility solutions. Zara Inforise focuses on delivering actionable insights and co-creating breakthrough solutions that drive long-term value for clients. Key Responsibilities Collect, preprocess, and analyze structured and unstructured data from multiple sources Identify valuable data sources and automate data collection processes Analyze large datasets to identify patterns, trends, and insights Build, test, and deploy predictive models and machine learning algorithms Apply ensemble modeling techniques to improve model performance Develop and evaluate statistical and ML models aligned with business objectives Create clear and impactful data visualizations and dashboards Present insights and findings to technical and non-technical stakeholders Propose data-driven solutions and strategies to address business challenges Collaborate with engineering and product development teams to integrate models into applications Required Qualifications Bachelor’s or Master’s degree in a relevant field (Any Graduate / Postgraduate) 1–4 years of experience in data science, data analytics, or machine learning Strong proficiency in Python for data analysis and modeling Solid understanding of machine learning algorithms and statistical techniques Experience with SQL for data extraction and manipulation Hands-on experience with predictive modeling and data analytics Familiarity with Natural Language Processing (NLP) is a plus Experience using data visualization tools such as Tableau or similar Knowledge of R is an added advantage Key Skills & Competencies Data Collection & Data Preprocessing Predictive Modeling & Machine Learning Statistical Analysis & Algorithms Python, SQL, R Data Visualization & Storytelling NLP (Preferred) Business Problem Solving Cross-functional Collaboration Product-oriented Data Science

Role and Responsibilities

• Key Responsibilities Collect, preprocess, and analyze structured and unstructured data from multiple sources Identify valuable data sources and automate data collection processes Analyze large datasets to identify patterns, trends, and insights Build, test, and deploy predictive models and machine learning algorithms Apply ensemble modeling techniques to improve model performance Develop and evaluate statistical and ML models aligned with business objectives Create clear and impactful data visualizations and dashboards Present insights and findings to technical and non-technical stakeholders Propose data-driven solutions and strategies to address business challenges Collaborate with engineering and product development teams to integrate models into applications