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Applicants apply forGeneral Manager - Data Science - CPG Domain

8.00 to 12.00 Years   Gurugram   04 Jul, 2022
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other SoftwareSales / BD
EmploymentTypeFull-time

Job Description

    Looking for a GM Data Science in CPG Domain Exp Solely- Expertise in Data Analysis, Statistics & Machine Learning Concepts- Exceptional Problem-Solving skills and an Analytical Mindset- Exceptional Communication skills and Entrepreneurial Spirit- Managerial & Leadership Skills- Passion for solving Business Problems- Ability to support Sales by developing technical presentations that highlight important data features by leveraging ML, AI, Big Data and Cloud tools- Ability to conceptualize Financial Services data analytics use cases to implement transformative data strategies, process improvements, and analytical frameworks to solve complex issues in customer engagement, personalization, risk management, investment selection, credit assessment, trade management, etc.- Ability to engage with senior business leaders and comfortable translating technical solutions into industry-specific terms, and effectively communicating ROIDesired Skills:- We are looking for exceptional individuals, who has demonstrated Consulting skills as well as Advanced Analytics skills in his or her professional life. - At least 8+ years of experience in the field of Data Analytics with extensive consulting exposure- Expertise in statistical programming languages, such as Python, or equivalent, and knowledge of other analytics tools- Expertise on query languages such as SQL and Cloud & at least one Big Data Platforms such as GCP, Azure, AWS, Hadoop, etc.- Expertise in advanced analytics & machine learning methodologies such as Regression (Linear, Logistic, etc.),Cluster Analysis, CART/CHAID, Bayesian models, Time Series analysis, etc.- Expertise in Deep Learning for NLP & Computer Vision.- Exposure to visualization platforms such as Tableau, Power BI is an add on- Good understanding of economic, financial, and general business concepts and terminologies- Strong Communication and Presentation Skills- Demonstrated experience in supporting Sales/Pre-Sales through technical presentations- Team Building & Handling.,

Keyskills :
time series analysisbig datapower biuse casestime seriesdata sciencedata analysisteam buildingdeep learning

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