Senior Data Scientist

Posted 3 Hours Ago
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4 Locations
In-Office or Remote
Senior level
Hardware • Other • Software • Appliances • Industrial • Manufacturing
The Role
Lead end-to-end data science projects: gather and clean data, build statistical and ML models (including unsupervised, deep learning, computer vision, and generative AI), productionize pipelines, automate reports and dashboards, monitor model/data drift, and present insights to senior stakeholders while mentoring cross-functional teams.
Summary Generated by Built In

Job title: Senior Data Scientist

Job duties:  A Senior Data Scientist drives execution and plays a vital role in building a culture of innovation at Fortive. They will build, manage, and inspire alongside a multi-functional team that solves for our toughest growth obstacles. Collaborate with cross-functional stakeholders to understand their business needs. Formulate and complete end-to-end analysis that include data gathering, analysis, scaled deliverables, recommendations, and presentations to stakeholders. Contribute to a wide variety of research projects using statistical analysis and modeling. Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Drive execution and build a culture of innovation. Build and manage alongside a multi-functional team solving far growth challenges. Design and implement tools for internal Data Science toolbox. Continually test and validate performance of data-driven products. Experiment with new models and techniques to build continuous improvement. Evaluate and recommend tools that can expedite time-to-value and time-to-market. Contribute to data mining and collection procedures to ensure data quality and integrity, and act as a resource to help drive the analytical scope and method for projects, including formulating and shaping projects. Develop and implement. Unsupervised Machine Learning and Deep Learning algorithms for predicting asset failure. Develop and implement Computer Vision models for defect detection and classification. Develop. Generative Al solutions for improving operational productivity and accelerating engineering feature releases. Apply statistical packages and machine learning tools, including R. Python, AWS, Tensor Flow, Keras, and SQL to perform duties. Build analytics for customer segmentation around usage and customer information. Build pipelines to implement models for customer churn prediction. Design and evaluate experiments for customer retention based on statistical analysis. Build reusable tools to detect data and model drift, and to track data quality and model performance in production over time.

Education: Master’s degree in Data Science, Computer Science, Information Theory, Language Technologies or related field. 

Experience: 4 years of experience as a Data Scientist or related occupation. 

Key Requirements: Must have experience in the following:

  • Proven track record of success in applying data science techniques to real-world business problems such as reduction of churn or increase in bookings growth. 
  • Programming languages such as Python, R, or SQL, and data manipulation and visualization libraries: pandas and matplotlib. 
  • Machine learning algorithms, deep learning techniques, and statistical modeling. 
  • Big data technologies and platforms: Spark 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. 

Skills Required

  • 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
  • Proven track record applying data science to business problems (e.g., churn reduction, bookings growth)
  • Proficiency in Python, R, and SQL
  • Experience with data manipulation and visualization libraries such as pandas and matplotlib
  • Experience with machine learning algorithms, deep learning techniques, and statistical modeling
  • Experience with big data technologies and platforms such as Spark
  • Experience with cloud computing services: AWS, Azure, and GCP
  • Experience with TensorFlow and Keras
  • Experience designing and implementing unsupervised ML and deep learning for asset failure prediction and computer vision for defect detection
  • Experience building customer segmentation, churn prediction pipelines, and evaluating experiments for retention
  • Experience building tools to detect data and model drift and track production model performance
  • Stakeholder management, project coordination, and ability to present technical concepts to Presidents and direct reports

Fortive Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortive and has not been reviewed or approved by Fortive.

  • Parental & Family Support Parental leave is fully paid for 12 weeks for all parents, with fertility coverage via Progyny and generous adoption/surrogacy support. Backup child and adult care plus inclusive eligibility extend support across diverse family structures.
  • Healthcare Strength Multiple PPO and HSA medical options include telemedicine and second-opinion services, alongside robust mental-health access through Spring Health with no‑cost therapy sessions. The breadth of medical and behavioral health resources is highlighted as a strength.
  • Retirement Support The 401(k) provides a competitive employer match each pay period, with an additional company retirement contribution after one year of service. Financial wellness tools and an employee stock purchase plan further bolster long‑term savings.

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The Company
HQ: Everett, WA
13,486 Employees
Year Founded: 2016

What We Do

Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth.

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