Data Scientist

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September 3

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InOrg Global

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Enterprise • SaaS • B2B

InOrg Global is a company specializing in managed services and innovative business strategies. They focus on providing AI/ML services, strategic operations, and workspace management to enhance productivity and efficiency. InOrg offers a unique Build-Operate-Transfer (BOT) model, guiding businesses through design, development, operation, and seamless transition of control to ensure sustained success. The company is dedicated to empowering digital disruptors and optimizing business processes with expertise in global capability centers, helping clients expand their global reach and achieve operational excellence.

51 - 200 employees

🏢 Enterprise

☁️ SaaS

🤝 B2B

📋 Description

• We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. • You will build data products to extract valuable business insights, analyze trends and help us make better decisions. • We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. • Critical thinking and problem-solving skills are also required. • Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes • Perform preprocessing of structured and unstructured data • Review large amounts of information to discover trends and patterns • Create predictive models and machine-learning algorithms • Modify and combine different models through ensemble modeling • Organize and present information using data visualization techniques • Develop and suggest solutions and strategies to business challenges • Work together with engineering and product development teams

🎯 Requirements

• 5+ years' experience of working on Data Scientist or Data Analyst • Significant experience in data mining, machine-learning and operations research • Good experience using business intelligence tools (such as Tableau) and data frameworks (such as Hadoop) • Good knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • Strong math and analytical skills, with business acumen • Strong communication and presentation skills • Good problem-solving abilities • Batchelor's in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred