Descrição
Sutherland is seeking an analytical person to join us as an Associate Profession - Data Scientist to be responsible for reporting and providing 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 Scientist in this role get to:
Keep management updated: Relay vital information in the form of timely and accurate reports.
Impact the bottom line: Produce solid and effective strategies based on accurate and meaningful data reports and analysis and/or keen observations
Define Sutherland’s reputation: Oversee and manage performance and service quality to guarantee customer satisfaction.
Strengthen relationships: Establish and maintain communication with clients and/or team members; understand needs, resolve issues, and meet expectations.
Take the lead: Think critically and identify opportunities for improvement, then work with global SMEs to integrate efficiencies into daily activities.
Qualifications:
Skills - Advanced Excel, Proficient in SQL, R or Python
- Be familiar with concepts like Regression, Decision Trees, Support Vector Machines, Neural networks, Time Series Forecasting, Clustering
- Have knowledge of building predictive models and validating them for selection of the best model to deploy
- Have excellent knowledge of one or more statistical programming language, preferably open source languages R or Python
- Have the ability to deal with lots of variables in datasets and select best variables to include in the model
- Have Dimension reduction techniques knowledge of integrating data from a variety of sources and able to look for opportunities to generate insights
- Have ability to perform exploratory data analysis using visualizations to come up with initial insights
- Have strong hands on expertise in SQL + Excel
- Be able to understand the business objective to map out the data requirements + the analytics efforts
- 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
- Be able to work and collaborate with team members from various other functions Proficient in structured dataset analysis
- Have knowledge to run BI tools (like Power BI, Tableau, etc.)
- Have familiarity with big data tools and platforms (such as Hadoop, Hive, Hbase, MAPR, etc.) and NLP toolkit
- Have knowledge of Healthcare and Health Insurance industry
- Have good knowledge in R, Python, Hadoop ecosystem (Hive, Pig, Imphala, Spark, Sqoop) and Visualization tools (Tableau, High Chart, PowerBI)
- Be attentive to details and ability to work in a fast-paced environment
- Be able to adjust quickly and smoothly to changing priorities and conditions
- Have ability to interpret data, identify trends, and make suggestions for improvements
- Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements
- Be pro-active in developing trust and professional rapport with employees and team members; work as a team-player
- Have strong verbal and written communication skills; be able to communicate in a clear, constructive, and professional manner