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Data Scientist
InvoLead
posted 3+ weeks ago
Flexible timing
Key skills for the job
We are looking for Data Scientist/Sr Data Scientist for the Analytics team with experience of analytics/data science projects making significant contribution to design of analytical approach, Machine Learning/Deep Learning application skills, Statistical/ML modeling skills etc. The candidate is expected to possess good analytical, decision making and problem solving skills.
Duties and Responsibilities:
Ability to work with large data sets and present conclusions to key stakeholders; Data management using R/Python/Spark Working through the phases of project
o Define data requirements for creating a model and understand the business problem
o Optimize processing speed, automate iterative tasks as much possible, write codes in modular form with high reusability
o Clean, aggregate, analyze, interpret data, and carry out quality analysis of it
o Set up data warehouse for predictive/prescriptive analysis
o Development of AI/ML models or statistical/econometric models.
o Hands on experience in Market Mix Optimization, Pricing and Promotion optimization, Assortment optimization etc.
Working along with the team members Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other
BTech in Computer Science, MCA or Master degree in Statistics /Econometrics /Mathematics or related subjects
Requirements:
2+ years of work experience in consulting/analytics with reputed organization is desirable. Have an understanding of econometric/statistical modeling and analysis techniques such as
regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and programming languages like R/ Python/ Spark is a mandate
Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, XGBoost, Neural Network etc.
Good team player Attention to details Good communication skills
Employment Type: Full Time, Permanent
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