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Sciative Solutions ision Sciences Analys

0.00 to 2.00 Years   Mumbai City   12 Aug, 2022
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Job Responsibilities : - Understand clients business needs, and design solutions to address the same- Evaluate different statistical, machine learning, and data science techniques to identify the ones that delivers maximum value to clients at a reasonable effort- Identify data requirements for solving business problems, and use appropriate packages and tools to build predictive and prescriptive model that deliver actionable insights- Lead client and project engagements and ensure that timelines and deliverables are being met or bettered (Travel may be required)- Develop and implement analytical / statistical methodologies, and learn and apply new statistical analysis and big data tools- Provide thought leadership and solutions, but not limited to: Fraud Detection, Yield Management, Customer Segmentation, Assortment Optimization, Affinity Modelling, Survival Analytics, Response Prediction, Personalization Recommendations, Channel Attribution, Marketing Mix Optimization- Prepare case studies and white papers, and deliver seminars and workshops to demonstrate the scientific leadership of Sciative Solutions and how it delivers value to clients businessesQualification and Experience :- Qualification : BE/BTech in Engineering, or Bachelors degree in Economics, Mathematics, Computer Science, or related field- 0 - 2 years of demonstrated hands-on experience (6+ years for Sr. Data Scientist) designing and applying ML/statistical techniques to solving complex business problems at scale- Demonstrated experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements- High proficiency in design of algorithms, design of experiments- Experience in Machine Learning, Statistics, Operations Research techniques- Proficiency in at least one of MlLib, R or Pythons data science stack- High Proficiency in relational databases, data management concepts and SQL scripting- Experience in Spark preferred (but not essential),

Keyskills :
big datadata sciencewhite paperscase studiesstatements of work sow

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