Senior Data Scientist - Python

About Us : Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, the US, and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IoT analytics, etc. Our team comprises 100 professionals across Machine Learning, Data Engineering & Cloud expertise. We are looking to hire Data Science Engineers 6 experience with advanced expertise in Python, Machine Learning (ML) forecasting, and data processing for a critical project. This role is ideal for candidates who are experienced in time-series analysis and demand forecasting. Key Responsibilities : - Work on Exploratory Data Analysis (EDA) and data wrangling to clean, process, and visualize large datasets. - Develop and implement Machine Learning models for demand forecasting using Python. - Perform feature engineering to improve model accuracy and performance. - Handle time-series data processing for accurate and efficient forecasting. - Collaborate with cross-functional teams to deliver actionable insights from data analysis. - Use Excel for basic data manipulation tasks like pivoting, creating formulas (e.g., VLOOKUP, SUMIF), and performing aggregation functions. - Work with SQL to query databases, write complex queries using JOIN, GROUP BY, WHERE clauses, and subqueries. - Deliver solutions and insights for business forecasting to meet project timelines. Skills & Requirements : - Python (Advanced) : Experience in using Python for EDA, data wrangling, working with ML packages, time-series data, and demand forecasting. - Excel (Basics) : Familiarity with pivot tables, VLOOKUP, SUMIF, and other Excel aggregation functions. - SQL (Optional) : Basic querying, writing JOINs, and subqueries. - Experience : Minimum of 6 years in machine learning and forecasting. - Immediate joiners are highly preferred. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/27/2024