Sr Data Scientist

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

Primary Function of the Position 

The individual in this role is required to lead technical teams, collaborate with stakeholders, and drive data-driven decision-making within the organization. The person should be adept at designing and implementing advanced analytical models, leveraging one’s expertise to solve complex business problems. With a strong background in statistical analysis, machine learning, and programming languages such as Python and SQL, they excel in transforming raw data into actionable intelligence. The role requires oversight over teams headed by other leads and managers, who will be striving to deliver analytics and data science projects. Mentor junior resources and act as career coach to help them excel and develop their professional careers.

Roles and Responsibilities:

• Develop and align the data science and analytics strategy with overall business goals, identifying opportunities to leverage data for competitive advantage.
• Manage and lead a team of data scientists and analysts, providing guidance on projects, setting performance expectations, and fostering a collaborative and innovative team culture.
• Design and implement complex analytical models and algorithms to derive actionable insights from large datasets, contributing to data-driven decision-making across the organization.
• Gather and preprocess raw data from various sources, ensuring it is accurate, complete, and ready for analysis.
• Develop and generate regular reports on key performance indicators (KPIs) and other relevant metrics to provide insights into business performance.
• Collaborate with cross-functional teams, including business leaders, IT professionals, and other stakeholders, to understand business challenges and develop data-driven solutions.
• Stay abreast of the latest trends and advancements in data science and analytics, incorporating innovative techniques and technologies to enhance the organization's capabilities.
• Effectively communicate complex technical findings to non-technical stakeholders through compelling visualizations, reports, and presentations, facilitating informed decision-making.
• Provide mentorship to junior data scientists and analysts, fostering their professional development. Conduct training sessions to enhance the overall data literacy of the organization.
• Assess and recommend new tools, technologies, and external partnerships that can enhance the organization's data science and analytics capabilities.

Qualifications

Required Skills and Experience 

• Expertise in data analysis, statistical analysis, machine learning, and predictive modeling.
• Proficiency in programming languages such as Python for data analysis and model development. Expertise in SQL and related data transformation software such as DBT.
• In-depth knowledge of data modelling, data mining techniques and algorithms.
• Strong interpersonal skills and the ability to collaborate with cross-functional teams.
• The ability to align data science and analytics strategies with overall business objectives.
• Experience developing and executing a roadmap for the implementation of advanced analytics within an organization.
• Excellent communication skills to convey complex technical findings to non-technical s