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Data Scientist - Healthcare/Life Sciences

3.00 to 12.00 Years   Pune   23 Mar, 2023
TalentCo Search Pvt Ltd
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    Position_Description: to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking- for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you. Job Responsibilities: - Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. - Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. - Fast learner: ability to learn and pick up a new language/tool/ platform quickly. - Conceptualize, design, and deliver high-quality solutions and insightful analysis. - Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems. - Collaborate and Coordinate with different functional teams(engineering and product development) to implement models and monitor outcomes. - Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization Experience Required: - Expert level proficiency in at least one of R and Python. - Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms. - Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. - Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes. - Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis. - We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. on a regular basis. If you know few of them you are good to go.,

Keyskills :
machine learningpythondata analysissqlanalyticstime seriesprice optimizationrecommender systemscustomer segmentationrequirements gatheringoptimization strategiesdimensionality reduction

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