Senior Data Scientist
Listed on 2026-05-31
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
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.
- 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.
- 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.
This position is also eligible for bonus as part of the total compensation package.
Pay RangeThe salary range for this position (in local currency) is – .
Equal Opportunity EmploymentWe Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities.
Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
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