25/06 Garima Sharma
AVP - Business Development & Recruitment at Career Experts

Views:4121 Applications:215 Rec. Actions:Recruiter Actions:97

Data Scientist - Internet/IT/Analytics Firm (2-5 yrs)

Hyderabad Job Code: 713141

Job Description Summary :

The ideal candidate is a team player who will be responsible for working with company's data in various business areas. Specific responsibilities Conceptualize, design and deliver high-quality solutions and insightful analysis, Work and collaborate with other teams to deliver and create value for clients, Fast learner, ability to learn and pick up a new language/ tool/ platform quickly.

We are looking for a talented and passionate Data Scientists to join our Data Science Team, which is responsible for building and deliver AI/ML based solutions around a host of domains and business problems, with some of them being: Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Recommender Systems,

Modelling Response to Incentives.

Essential Responsibilities :

- Problem-solving, ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

- Fast learner, ability to learn and pick up a new language/ tool/ platform quickly.

- Good communication skills and strong ability to work effectively in a team environment

Educational Qualification/Experience :

- Bachelor's/Master's degree in Engineering/Computer Science/Mathematics/Operational research/Statistics.

- At least 2 years of experience of having designed and implemented advanced AI/ML in different projects.

- Expert level proficiency in Python or R, Python being preferred.

- Expert level proficiency in RDBMS and SQL

- Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modelling, insights, and visualizations

- Advanced knowledge of machine learning, probability theory, statistics, Deep-Learning architectures and algorithms.

- Should be able to use regression, classification, Bayesian methods, neural networks, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, clustering, NLP etc. on a regular basis.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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