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Senior Data Scientist

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Fortive Corporation (SE)
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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

Fortive’s essential technology makes the world safer and more…

Position Requirements
10+ Years work experience
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