Job Location: Hyderฤbฤd
Job Description:
Our most successful candidates will have:
Sutherland is seeking an analytical person to join us as an Associate Profession – Data Scientist to be responsible for Predictive modelling and provide insights from the data. We are a group of dynamic and driven individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!
Data Scientists in this role get to:
- Understand the business problem and the data
- Data engineering and Data visualization
- Performing descriptive, inferential analytics
- Building statistical models and machine learning models following the standard approach
- Implement Model testing and Validation after building the models
- Document the followed approach and analytical findings
- Participate in Analytics Solutions, Training events to impart industry knowledge
- Support Product R&D initiative by providing Advanced Statistical Insights & Algorithms
Qualifications:
Our most successful candidates will have:
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Be familiar with concepts like Regression, Decision Trees, Support Vector Machines, Neural networks, Time Series Forecasting, Clustering
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Have knowledge of building predictive models and validating them for selection of the best model to deploy
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Have excellent knowledge of one or more statistical programming language, preferably open source languages R or Python
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Have the ability to deal with lots of variables in datasets and select best variables to include in the model
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Have Dimension reduction techniques knowledge of integrating data from a variety of sources and able to look for opportunities to generate insights
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Have ability to perform exploratory data analysis using visualizations to come up with initial insights
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Have strong hands on expertise in SQL + Excel
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Be able to understand the business objective to map out the data requirements + the analytics efforts
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Be able to articulate clearly the business value from the Analytics output Must be able to communicate in layman terms the story and insights from the data
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Be able to work and collaborate with team members from various other functions Proficient in structured dataset analysis
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Have knowledge to run BI tools (like Power BI, Tableau, etc.)
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Be attentive to details and ability to work in a fast-paced environment
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Be able to adjust quickly and smoothly to changing priorities and conditions
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Have ability to interpret data, identify trends, and make suggestions for improvements
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Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements
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Be pro-active in developing trust and professional rapport with employees and team members; work as a team-player
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Have strong verbal and written communication skills; be able to communicate in a clear, constructive, and professional manner
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2+Yrs of experience in data analytics
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