Corporate Vice President - Sales
Job details
Job OverviewWe are searching for a Data Scientist to join our company on an immediate basis. We are looking for an experienced Data Scientist who will support our products, sales, leadership, and marketing teams with awareness gained from analyzing company data. You should be an expert at using large datasets for products, undertake optimization, and use models to test the effectiveness of different courses of action.In this role, you should be highly logical with a strong capability for analysis, math, and statistics. Analytical skills and problem-solving are essential for interpreting data. A passion for research and machine learning will also be required in a candidate to be successful in this role. You will ultimately help our company analyze trends to make better decisions.If you feel you are suitable for this role, send in your application to us. We shall be happy to meet you.ResponsibilitiesAlly with engineering and product development teams.Suggest solutions and strategies to business challenges.Present information using data visualization techniques.Produce predictive and machine learning models and integrate them through ensemble modeling.Manage the processing of structured and unstructured data.Examine large amounts of information to discover new patterns and trends.Recognize valuable data sources and automate collection procedures.Work closely with Data Engineers to analyze data and conduct statistical analysis.RequirementsBachelor's or Master's degree in Computer Science, Data Science, Engineering, or any other quantitative field.Proven 3 to 5 years work experience as a Data Scientist, Data Analyst, Software Engineer, or a similar position.Excellent knowledge of programming languages like R and Python.Excellent understanding of SQL and other databases.Familiarity with Java, Scala, or C++.Solid experience using business intelligence tools such as Tableau and data frameworks like Hadoop.Outstanding data analysis skills.Exceptional knowledge of data analytics.Good understanding of data-driven statistical models and predictive modeling.Outstanding presentation skills.Strong oral and written communication skills.Excellent math skills, including algebra and statistics.Great knowledge of machine learning and operations.Investigative mind and business awareness.Strong organizational skills.
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