Data Scientist

Full Job Description
We requires the skills of a data science specialist with hands-on experience in planning, developing and management of predictive and prescriptive analytics projects/solutions. Provides balanced analytical research by turning raw data into valuable insights that help to drive the  actions and strategies. Also interprets and analyses data from multiple sources to come up with imaginative solutions to problems. Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management. Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues.
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Responsibilities:
Develop programming in R, SAS, SQL or similar analytical development tools
Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
Ascertain and apply strategies to identified business problems and existing organizational processes to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact
Utilize R, SAS, SQL, Tableau or other analytical development tools with large data sets to design
analyses and measure key metrics
Support line of business analytical needs with dashboard/report development through Tableau
Perform other duties as assigned by the Team Lead, Data Science
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Keys Qualifications and Skills:
Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
2-6 years working experience as a data scientist or business data analyst, preferably in the financial services industry
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Proficient in office automation tools (e.g. Microsoft Office, etc)
Proficient in SQL