Senior Data Scientist
Listed on 2026-06-18
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
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 clean 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 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.
Required Qualifications:
Hold a bachelor’s degree (or its equivalent) in computer-science/information-theory/language-technologies or a related fields
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.
Preferred Qualifications:
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.
LI-CS23
Fortive Corporation Overview
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