Senior Data Scientist (7070) bei Zimmer Biomet
Zimmer Biomet · Remote, Vereinigte Staaten Von Amerika · Hybrid
- Senior
- Optionales Büro in Remote
Career Opportunities: Senior Data Scientist (7070)
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.
What You Can Expect
Zimmer Biomet’s Global IT Data Science Group is on a mission to develop and deploy enterprise-wide advanced analytics and data science solutions across key supporting functions—including Finance, IT, Manufacturing, and Commercial Excellence. These efforts are central to our transformation strategy, enabling smarter decision-making and operational efficiency.
As a Data Scientist, you will play a critical role in supporting a variety of machine learning models and business analytics processes. Your work will focus on increasing the predictability of market and sales performance, while also driving improvements across internal workflows and systems.
How You'll Create Impact
- Develop and maintain machine learning models aligned with business cycle requirements
- Deploy models into production environments and monitor performance over time
- Integrate and validate new data sources to enhance model accuracy and reliability.
- Collaborate with Data Engineers to streamline data collection and preprocessing workflows.
- Adapt and tune models for different markets, segments, and business needs.
- Engage with business stakeholders to gather feedback and improve model relevance.
- Define, calculate, and track key performance indicators (KPIs) for deployed solutions.
- Support cross-functional teams in designing ML models for diverse applications (e.g., Competitive Intelligence).
- Build and optimize dashboards and reports to deliver actionable insights to internal customers.
- Ensure continuous improvement of existing analytics solutions through stakeholder input and data enhancements.
What Makes You Stand Out
- High interest and passion for data analysis and performance tracking/ consulting
- Analytical ability to gather data, perform complex analysis and to solve both business and technical problems
- Agility and initiative to react quickly to new opportunities
- Able to build credibility quickly with people at all levels of the organization
- Fast learner, can work independently and manage complex projects
- Strong communication and presentation skills
- Ability to work with diverse, cross-regional teams in a matrix organization
Your Background
Education
- Educated to University Level. Bachelor’s degree in a technical or quantitative field such as: Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.
Minimum Qualifications
- 3+ years experience or equivalent as a data science practitioner
- Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports
- Strong programming skills in data manipulation & processing including SQL and Python
- Experience with distributed computing tools such as Spark or PySpark.
- Experience in building and deploying ML-models for Time series predictions (e.g., SARIMAX, XGBoost, Prophet)
- Proficient in ML & data manipulation libraries: Scikit-learn, Pandas, NumPy, XGBoost
Preferred Qualifications
- Demonstrated experience with Power BI for dashboard development
- Proficiency using Azure and Snowflake infrastructure
- Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations
- Experience in statistical modeling and machine learning, including Bayesian methods
EOE/M/F/Vet/Disability
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.
What You Can Expect
Zimmer Biomet’s Global IT Data Science Group is on a mission to develop and deploy enterprise-wide advanced analytics and data science solutions across key supporting functions—including Finance, IT, Manufacturing, and Commercial Excellence. These efforts are central to our transformation strategy, enabling smarter decision-making and operational efficiency.
As a Data Scientist, you will play a critical role in supporting a variety of machine learning models and business analytics processes. Your work will focus on increasing the predictability of market and sales performance, while also driving improvements across internal workflows and systems.
How You'll Create Impact
- Develop and maintain machine learning models aligned with business cycle requirements
- Deploy models into production environments and monitor performance over time
- Integrate and validate new data sources to enhance model accuracy and reliability.
- Collaborate with Data Engineers to streamline data collection and preprocessing workflows.
- Adapt and tune models for different markets, segments, and business needs.
- Engage with business stakeholders to gather feedback and improve model relevance.
- Define, calculate, and track key performance indicators (KPIs) for deployed solutions.
- Support cross-functional teams in designing ML models for diverse applications (e.g., Competitive Intelligence).
- Build and optimize dashboards and reports to deliver actionable insights to internal customers.
- Ensure continuous improvement of existing analytics solutions through stakeholder input and data enhancements.
What Makes You Stand Out
- High interest and passion for data analysis and performance tracking/ consulting
- Analytical ability to gather data, perform complex analysis and to solve both business and technical problems
- Agility and initiative to react quickly to new opportunities
- Able to build credibility quickly with people at all levels of the organization
- Fast learner, can work independently and manage complex projects
- Strong communication and presentation skills
- Ability to work with diverse, cross-regional teams in a matrix organization
Your Background
Education
- Educated to University Level. Bachelor’s degree in a technical or quantitative field such as: Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.
Minimum Qualifications
- 3+ years experience or equivalent as a data science practitioner
- Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports
- Strong programming skills in data manipulation & processing including SQL and Python
- Experience with distributed computing tools such as Spark or PySpark.
- Experience in building and deploying ML-models for Time series predictions (e.g., SARIMAX, XGBoost, Prophet)
- Proficient in ML & data manipulation libraries: Scikit-learn, Pandas, NumPy, XGBoost
Preferred Qualifications
- Demonstrated experience with Power BI for dashboard development
- Proficiency using Azure and Snowflake infrastructure
- Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations
- Experience in statistical modeling and machine learning, including Bayesian methods
EOE/M/F/Vet/Disability
