Dentsply Sirona is the world’s largest manufacturer of professional dental products and technologies, with a 130-year history of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona’s products provide innovative, high-quality and effective solutions to advance patient care and deliver better and safer dentistry. Dentsply Sirona’s global headquarters is located in Charlotte, North Carolina. The company’s shares are listed in the United States on NASDAQ under the symbol XRAY.

Bringing out the best in people

As advanced as dentistry is today, we are dedicated to making it even better. Our people have a passion for innovation and are committed to applying it to improve dental care. We live and breathe high performance, working as one global team, bringing out the best in each other for the benefit of dental patients, and the professionals who serve them. If you want to grow and develop as a part of a team that is shaping an industry, then we’re looking for the best to join us.

Working at Dentsply Sirona you are able to:

Develop faster - with our commitment to the best professional development.

Perform better - as part of a high-performance, empowering culture.

Shape an industry - with a market leader that continues to drive innovation.

Make a difference -by helping improve oral health worldwide.

Jo b Summary:

The Data Scientist / Senior Data Analyst is an integral part of the Analytics Team, dedicated to harnessing machine learning techniques for advanced data analysis and predictive modeling. This role is pivotal in guiding strategic business decisions and refining operational processes. Additionally, the incumbent will be responsible for overseeing the ETL process, ensuring the integrity and quality of data.

Key Responsibilities:

• Employ machine learning algorithms such as regression, classification, andclustering to conduct thorough analysis of complex datasets, uncovering key trends, patterns, and anomalies that guide strategic business decisions.

• Continuously develop, refine, and scale predictive models tailored to various business scenarios, such as trend forecasting, supply chain optimization, andproduct quality enhancement, adjusting these models as data and businessneeds evolve.

• Implement and maintain MLOps practices to streamline the deployment,monitoring, and management of machine learning models in productionenvironments. This includes automating data pipelines, model training, anddeployment processes within Databricks, GCP, and other MLOps tools to ensurescalability, reproducibility, and high availability of models.

• Collaborate closely with other business units to develop analytics that align withstrategic objectives, effectively integrating analytical insights into businessoperations through clear communication and collaboration.

• Clearly articulate complex data insights in an actionable manner to bothtechnical and non-technical stakeholders, aiding in informed decision-making.

• Stay updated on emerging trends and technologies in data science and analytics,ensuring the organization remains at the forefront of data-driven innovation.

• Apply exceptional problem-solving skills to address practical businesschallenges using data-driven solutions.

• Collaborate with various departments such as Marketing, Operations, andCustomer Service to apply data insights to their specific challenges and goals,translating complex data findings into actionable strategies.

• May be called upon to build proof of concept visualization products todemonstrate features and gather feedback from stakeholders.

Education:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a relatedfield.

Years and Type of Experience:

• A minimum of 3-5 years of relevant experience in data analysis, predictivemodeling, and data engineering.

• Experience in applying machine learning techniques and using MLflow in abusiness context is highly desirable.

• Demonstrated expertise in developing and implementing data-driven solutionsthat have positively impacted business outcomes.

• Previous experience as a Machine Learning Engineer is highly desirable.

Key Required Skills, Knowledge, and Capabilities:

• Advanced proficiency in data analysis tools and programming languages such asPython,R (optional), and SQL and/or Apache Spark for data analysis and machinelearning applications.

• Strong understanding of machine learning algorithms, statistical analysis,predictive modeling, and data mining.

• Experience with end-to-end machine learning model development, deployment,and monitoring workflows.

• Familiarity with data warehousing, ELT processes, and data governanceprinciples.

• Excellent communication skills, with the ability to clearly articulate complex data insights, including those derived from machine learning models.

• Collaborative mindset, capable of working effectively in team environments andwith cross-functional teams.

• Adaptability to rapidly changing business needs and evolving technologies.

• Demonstrated ability to manage projects, prioritize tasks, and deliver resultswithin set timelines.

• Good to have: Proficiency in Databricks for ML operations, including experiencewith Delta Lake for data reliability and MLflow for lifecycle management. In-depthknowledge of Google Cloud Platform (GCP) services, especially BigQuery,Dataflow, and AI Platform for data processing and machine learning projects.

#LI-AG2

Dentsply Sirona is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, or protected Veteran status. We appreciate your interest in Dentsply Sirona.

If you need assistance with completing the online application due to a disability, please send an accommodation request to careers@dentsplysirona.com (careers@dentsply.com) . Please be sure to include “Accommodation Request” in the subject.

For California Residents:

We may collect the following categories of personal information in connection with the submission of your resume or application materials to us for employment, and if hired, your employment with us: identifiers (e.g., name, address, email address, birthdate); personal records (e.g., telephone number, signature, education information, criminal background information, passport number and visa information); consumer characteristics (e.g., sex, marital status, veteran status, race, disability, sexual orientation); professional or employment information (e.g., resume, cover letter, employment history, background check forms, references, certifications, transcripts and languages spoken); and inferences from personal information collected (e.g., a profile reflecting abilities and aptitudes).

The above categories of personal information are collected for the following business purposes: performing recruitment and hiring services; processing interactions and transactions (e.g., to comply with federal and state laws requiring us to maintain certain records, managing the workforce); and security (e.g., detecting security incidents, protecting against fraudulent or illegal activity).

For additional details and questions, contact us at careers@dentsplysirona.com