Provation is looking for an experienced hands-on data scientist to continue building the culture of innovation at Provation. The right candidate has active hands-on data science experience who can also articulate data insights and technical concepts to executive audiences. The Sr Data Scientist role requires the ability to develop innovative solutions, perform risk analysis, and be comfortable working in a rapid, fail-fast environment as well as provide a vision for future data science products and capabilities.

Duties & Responsibilities:

• Drive execution and play a vital role in building a culture of innovation at Provation.

• Grow organization-wide data science capabilities.

• Build, manage, and inspire alongside a multi-functional team that solves our toughest growth obstacles.

• Collaborate with cross-functional stakeholders and customers 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.

• Effectively manage stakeholder expectations, ensuring alignment with project objectives.

• Coordinate project timelines, milestones, and deliverables to ensure efficient progress and successful outcomes.

• Translate data science model impacts, insights, and methodologies into accessible language for non-technical team members.

• Foster a culture of understanding and appreciation for data-driven decision-making across the organization.

• Other duties and projects as assigned

Job Requirements:

Education & Experience

• Hold a bachelor’s degree (or its equivalent) in computer-science/information-theory/language-technologies or a related field is required, and a Master or PhD is preferred

• 8+ years of related experience

Preferred Qualifications:

• 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., Azure, AWS, 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.

• Demonstrated experience in stakeholder management, project coordination, and communication within a data science or related technical environment.

• Proficiency in conveying complex technical concepts to diverse audiences.

• Strong organizational skills and attention to detail.

• Ability to thrive in a dynamic, collaborative team environment.

Other Knowledge, Skills, Abilities or Certifications:

• 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.

• Provide technical guidance and support as needed.

Please note: at this time, visa sponsorship is not available.

Fortive Corporation Overview

Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.

We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.

We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.

At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.

Fortive: For you, for us, for growth.

We 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 applyassistance@fortive.com.