Quantzig
Location
Bangalore | India
Job description
About the company: Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions. Quantzig is one of the business units of Infiniti Research along with other BUs namely Bizvibe, Technavio, Corporate etc. Find out more about the company:
Infiniti Research Website : Role : Data Scientist Responsibilities: Data Analysis: Utilize Python, Excel, and SQL to perform in-depth analysis of large and complex datasets. Machine Learning: Apply advanced supervised and unsupervised machine learning techniques to develop predictive models. Forecasting Techniques: Employ sophisticated forecasting techniques to predict trends and outcomes. Optimization: Implement optimization techniques, including Machine Learning Integer Programming (MLIP) and Linear Optimization, to enhance decision-making processes. Reporting and Visualization: Develop insightful dashboards and reports using Excel and PowerPoint for effective communication of findings. Must-Have Skills: Python : Extensive expertise in Python for data analysis, scripting, and automation. Excel & PowerPoint : Advanced skills in Excel for data analysis and in PowerPoint for presenting findings. SQL : Proficient in SQL for data querying, extraction, and database management. Machine Learning (Supervised & Unsupervised) : Proven experience in applying both supervised and unsupervised machine learning techniques. Forecasting Techniques : Strong understanding and application of advanced forecasting techniques. Optimization (MLIP, Linear Optimization) : Hands-on experience in implementing optimization models using Machine Learning Integer Programming (MLIP) and Linear Optimization. Good-to-Have Skills: Azure Data Factory: Familiarity with Azure Data Factory for ETL (Extract, Transform, Load) processes. Azure Data Bricks: Knowledge of Azure Data Bricks for big data analytics and machine learning. Data Modeling: Understanding of data modeling concepts to ensure effective database design. Qualifications: Bachelor's degree in a relevant field 4 to 5 years of progressive experience in data analysis roles. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Demonstrated ability to work independently and as part of a collaborative team. Kindly share your CV to : [email protected]Job tags
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