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Director at TalentCo Search Pvt Ltd
Views:308 Applications:65 Rec. Actions:Recruiter Actions:26
Senior Data Scientist - KPO (6-10 yrs)
- 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 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.
Good to Have:
- Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
- Experience of working in on one or more domains:
- CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
- BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
- Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
- Experience in working with Linux computing environment and use of command line tools like sed/awk
- Good grasp on databases including RDBMS, NoSQL, MongoDB etc.
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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