Data Scientist I, Cloud Computing Technologies Agile Development Labor Rate under general supervision undertakes the collection and processing of data. Build computer models to address business problems and present information using data visualization techniques. Analyze large amounts of raw information to find patterns that will help improve the company. Is responsible for building data products to extract valuable business insights. Identify valuable data sources and automate collection processes. Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns. Search for ways to get new data sources and assess their accuracy. Build predictive models and machine-learning algorithms and combine models through ensemble modeling. Present information using data visualization techniques. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Use predictive models to improve customer experience, ad targeting, revenue generation, and more. Develop the company’s test model quality and A/B testing framework. Coordinate with various technical/functional teams to implement models and monitor results. Work with stakeholders to determine how to use business data for valuable business solutions. Create custom data models and algorithms. Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy. identifying business trends and changes through advanced Big Data Analytics and using a variety of techniques to interpret results from multiple data sources through statistical analysis, data aggregation, and data mining. Requires a Bachelor degree in Computer science, Mathematics or any other related field. Requires a 3-5 years working experience. Should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data as well as a passion for machine-learning and research. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop). Excellent communication and presentation skills. A natural inclination toward solving complex problems. Should have Knowledge or experience on statistical programming languages, including R, Python, SLQ, etc., to process data and gain insights from it. May have experience using and developing data architectures.
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