Senior Data Scientist

Fortive • Everett, TN

2d

About The Position

We’re looking for someone who brings both analytical depth and a practical mindset—someone who enjoys navigating ambiguity and translating insight into action. Successful candidates tend to demonstrate: Results orientation: A history of delivering measurable business impact, including financial and operational outcomes, and the ability to guide or influence small teams. Collaborative leadership: Comfort partnering across globally distributed teams, aligning diverse inputs, and moving work forward together. Curiosity and innovation: A strong interest in learning, experimenting, and applying new ideas—whether through hands‑on work, independent study, or cross‑functional initiatives. Comfort with ambiguity: The ability to make progress in complex, evolving environments where there isn’t always a clear or immediate answer. Clear communication: Skill in explaining complex concepts simply, influencing stakeholders, and building shared understanding. Resilience and adaptability: A positive, solutions‑focused approach when facing challenges or change. Alongside a team of entrepreneurial, high‑performing professionals, you’ll help deliver data‑driven solutions that fuel sustainable growth and meaningful innovation across Fortive. What you will do: As a Senior Data Scientist, you’ll drive execution and play a vital role in building a culture of innovation at Fortive. You 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 review that include data gathering, review, scaled deliverables, recommendations and presentations to stakeholders. Contribute to a wide variety of technical projects using natural language processing, statistical analysis, machine-learning, and other forms of analytical modeling. If solving a material customer problem or finding an analytical solution to a core process bottleneck sounds like your kind of thing, our Senior Data Scientist role might right for you.

Requirements

• Hold a bachelor’s degree (or its equivalent) in computer-science/information-theory/language-technologies or a related fields

Nice To Haves

• Master or PHD in computer-science/ information-theory/ language-technologies or related fields
• Proven track record of success in applying data science techniques to real-world business problems.
• Expertise in programming languages such as Python, R, or SQL, and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
• Strong knowledge of machine learning algorithms, deep learning techniques, and statistical modeling.
• Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud computing services (e.g., AWS, Azure, GCP).
• Excellent analytical and problem-solving skills, with the ability to think critically and creatively to solve complex problems.
• Effective communication and collaboration skills, with the ability to present technical concepts to non-technical stakeholders.
• Proven leadership experience, with the ability to lead and mentor a team of data scientists.

Responsibilities

• Lead end-to-end data science projects, from problem definition and data collection to model development and deployment.
• Design and develop machine learning models and algorithms to analyze large, complex datasets and extract meaningful insights.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Explore and implement advanced statistical techniques to uncover trends, patterns, and correlations in data.
• Develop predictive models and forecasting algorithms to support decision-making and drive business growth.
• Evaluate model performance and make recommendations for model improvements and optimizations.
• Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement.
• Mentor junior team members and provide technical guidance and support as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees