Working on projects in partnership with business teams to identify opportunities for improvement, gather and analyze information and data, develop improvements and innovations; Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, evaluate business opportunities, and deliver valuable insights; Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers/stakeholders; Scope, size and plan DS project roadmaps with clear milestones, metrics and identify potential derailment factors. Drive end-to-end execution from incubation to production; Deliver high quality AI/ML solutions and maintain proper documentation to foster seamless workflows and code-reusability principles
Requirements:
B.Tech/Bachelor's degree in a quantitative field; Quantitative field like Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics; Full time 4-7 years relevant work experience in analytics/data science; Proficiency with mathematics and statistical analysis with significant hands-on experience in AI/Data Science; Proficiency in Programming Languages (Python), SQL; Knowledge in exploratory analysis, predictive modeling, prescriptive modeling, strong understanding of machine learning algorithms like Regression, Bagging (Decision Trees, RF), Boosting (XGBoost, GBM), Clustering (KMeans)
Text:
Data Scientist Working on projects in partnership with business teams to identify opportunities for improvement, gather and analyze information and data, develop improvements and innovations; Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, evaluate business opportunities, and deliver valuable insights; Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers/stakeholders; Scope, size and plan DS project roadmaps with clear milestones, metrics and identify potential derailment factors. Drive end-to-end execution from incubation to production; Deliver high quality AI/ML solutions and maintain proper documentation to foster seamless workflows and code-reusability principles B.Tech/Bachelor's degree in a quantitative field; Quantitative field like Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics; Full time 4-7 years relevant work experience in analytics/data science; Proficiency with mathematics and statistical analysis with significant hands-on experience in AI/Data Science; Proficiency in Programming Languages (Python), SQL; Knowledge in exploratory analysis, predictive modeling, prescriptive modeling, strong understanding of machine learning algorithms like Regression, Bagging (Decision Trees, RF), Boosting (XGBoost, GBM), Clustering (KMeans)
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