Senior Data Scientist

Were looking for someone who brings both analytical depth and a practical mindsetsomeone 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 ideaswhether through handson work independent study or crossfunctional initiatives.
• Comfort with ambiguity: The ability to make progress in complex evolving environments where there isnt 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 solutionsfocused approach when facing challenges or change.

Alongside a team of entrepreneurial highperforming professionals youll help deliver datadriven solutions that fuel sustainable growth and meaningful innovation across Fortive.

What you will do:

• As a Senior Data Scientist youll 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.
  

Required Qualifications:

• Hold a bachelors 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.

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