Description
• To play a key role in TechM’s business analytics team for customer. Participate in Identifying valuable data sources and automate collection processes complemented by an understanding of theoretical and technical aspects of business.• Preferred Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
• Support delivery of one or more data science use cases, leading on data discovery and model building activities. Conceptualize and quickly build POC on new product ideas - should be willing to work as an individual contributor as well as team player.
• Develop new predictive models, machine-learning algorithms and complement existing framework to generate sound strategic insights from multiple, complex raw data feeds, using expert understanding of analytical and statistical data analysis techniques.
• To work across the business with engineering, infrastructure and service management teams to support strategy development and leading initiatives that will help customer achieve the strategic objectives.
• Responding to RFPs, pitching new solutions and driving business growth
Essential Skills
• Proven experience as a Data Scientist or Data Analyst
• Minimum 3+ years of hands-on experience with statistical software tools: SQL, R, Python
• 3+ years’ experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting
• Experience working with large data sets in order to extract business insights or build predictive models
• Proficiency in one or more statistical tools/languages – Python, Scala, R, SPSS or SAS and related packages like Pandas, SciPy/Scikit-learn, NumPy etc.
• Good data intuition / analysis skills; sql, plsql knowledge must
• Manage and transform variety of datasets to cleanse, join, aggregate the datasets
• Hands-on experience running in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics)
• Deep domain (BFSI, Manufacturing, Auto, Airlines, Supply Chain, Retail & CPG) knowledge preferred
• Excellent communication and presentation skills
• Demonstrated ability to work under time constraints while delivering incremental value