Senior Data Scientist

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Fortive

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

🏢 Enterprise

⚕️ Healthcare Insurance

💰 Post-IPO Equity on 2020-03

Enterprise • Healthcare Insurance

Fortive is a global industrial technology company that specializes in delivering advanced healthcare solutions, intelligent operating solutions, and precision technologies. With a team of 18,000 employees, Fortive works on solving tough technical challenges, empowering safer, smarter, and more efficient industrial operations. The company emphasizes sustainability, integrity, and continuous improvement, striving for a future that's stronger, safer, and smarter. Fortive has been recognized as one of America's Most Responsible Companies, demonstrating its commitment to positive social and environmental impact.

📋 Description

• Drive execution and build a culture of innovation • Manage and inspire a multi-functional team • Collaborate with cross-functional stakeholders to understand business needs • Formulate and complete end-to-end analysis including data gathering, analysis, and recommendations • Contribute to a wide variety of research projects using statistical analysis and modeling • Develop and implement unsupervised machine learning and deep learning algorithms for predicting asset failure • Develop computer vision models for defect detection and classification • Build generative AI solutions for improving operational productivity and accelerating engineering feature releases • Design and evaluate experiments for customer retention based on statistical analysis

🎯 Requirements

• Master’s degree in Data Science, Computer Science, Information Theory, Language Technologies or related field • 4 years of experience as a Data Scientist or related occupation • Experience in applying data science techniques to real-world business problems such as reduction of churn or increase in bookings growth • Proficiency in programming languages such as Python, R, or SQL, and data manipulation and visualization libraries: pandas and matplotlib • Knowledge of machine learning algorithms, deep learning techniques, and statistical modeling • Familiarity with big data technologies and cloud computing services: AWS, Azure, and GCP • Present technical concepts to Presidents and their direct reports • Stakeholder management, project coordination, and communication within a data science or related technical environment

🏖️ Benefits

• Development and automation of reports • Continuous improvement experimentation • Tools for internal Data Science toolbox