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Lead Statistician

4.00 to 7.00 Years   Bangalore   28 May, 2020
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRetail
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Proficiency in most areas of mathematical and statistical analyses , machine learning , statistical modeling , and data visualization. (Hypothesis Testing , Regression analysis , econometric modeling , forecasting technique , ARIMA modeling , optimization , deep learning , etc.) Must have worked on large datasets as the consultant will be responsible for manipulating , extracting , transforming , and analyzing the large data to develop solutions and insights. Excellent problem - solving skills as well as critical thinking and conceptual thinking abilities. Expert in at least one coding language preferably python. Knowledge on deep learning and AI tools , and their application in the Retail domain will be preferred. Experience in client facing roles will an added advantage. Team management experience. Responsibilities: Conceptualize statistical modeling framework , define data requirement , create variables for model development and implementation.Manage end to end delivery including requirement gathering , solution design and business recommendation. Work closely with statisticians & other data science team members to develop solution framework Identify statistical techniques , implementation mechanism.Analyze big data using statistics , econometrics , mathematics , operations research , and text mining techniques. Provide analytical architecture analysis , design , development , and enhancements.Building dynamic regression models , econometric models , elasticity modeling , forecasting techniques such as time - series modeling , building ARIMA models , and optimization are a few statistical techniques which will be worked on extensively.Finalize the list of variables for modeling based on business and technical aspects. Validate the model outcomes and align it with the business needs and implementation plan.Develop business insights based on the output of model relevant to business needs.Prepare the benchmarking report (technical report) to analyze and compare the results of different models / variables.Presentation of results to the management and discuss further opportunities within / outside the project.You must be: A team player who likes to work hard and play harder , have excellent interpersonal , organizational and time - management skillsAble to think strategically and analytically to effectively complete assigned work within given timelinesSomeone who possesses excellent written and oral communication skills and have an attention to detailA person with an ability to multi - task on multiple projects and tasks at the same timeA person who gives importance to attention to detail and be highly organizedPositive and upbeat with the ability to learn quicklyBe able to laugh. At others and most importantly at yourself. Need a sense of humorYou can expect: A fast - paced , high - growth startup environment where you will gain a career and not just a jobThe company to invest in your personal and professional development. We support your ongoing education and training by reimbursing you for relevant educational coursesAn open office culture , no cabins or cubicles and a place that is looking for your input to help us growThe support of your teammates to always do better. Own it and win together!Exposure of International Retail market. Learn about a high growth industry and build critical skill - setExcellent employee referral program. Refer your friends , work with your friends and be awarded for itWork along with the smart , creative and energetic team who truly believe in working hard and partying harder! Masters / Ph.D in statisticsOther jobs available job application:Lead Statistician Upload your resume Let s discuss how Profectus can help improve your business performance through better pricing decisions.,

Keyskills :
achine learning big data deep learning model development data science team management

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