Advanced Analytics & AI Specialist
In-Office, Multiple Locations
Job Description Summary
As a member of the BD Rowa Analytics Team, the Data Analytics & AI Specialist acts as a key interface between classical data analytics, machine learning, and generative AI.The role focuses on transforming Rowa data assets into advanced analytical, predictive, and AI-driven solutions, supporting strategic business initiatives across the BD Rowa platform.
A core aspect of this role is to bridge business-driven analytics use cases with ML and GenAI capabilities, ensuring solutions are scalable, explainable, and ready for operational deployment.
Job Description
We are the makers of possible
BD is one of the largest global medical technology companies in the world.Advancing the world of health™ is our Purpose, andit’sno small feat. It takes the imagination and passion of all of us—from designand engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.
WhyJoin Us?
A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time.
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD,you’lldiscover a culture in which you can learn,growand thrive. And find satisfaction in doing your part to make the world a better place.
Become a maker of possible with us!
Key Responsibilities
- Design, develop, and maintain data pipelines and analytical models from the operational data warehouse to reporting, predictive, and AI-enabled use cases
- Translate business requirements into analytics, machine learning, or GenAI use cases, working closely with business analysts, product owners, and stakeholders
- Collect, prepare, and model structured and unstructured data to enable:
- descriptive and diagnostic analytics
- predictive and prescriptive models
- GenAI-driven applications (e.g. copilots, assistants, summarization, classification)
- Develop, evaluate, and support machine learning models (e.g. classification, regression, clustering, forecasting) and contribute to their operationalization
- Support the integration of generative AI capabilities into analytics workflows (e.g. feature engineering, insight generation, natural language interfaces to data)
- Act as a trusted advisor for business stakeholders in identifying opportunities to leverage Rowa data assets using advanced analytics, ML, and GenAI
- Collaborate with data engineering, IT, and AI governance stakeholders to ensure robust, secure, and compliant AI solutions
Required Qualifications
- Solid understanding of data modeling, data structures, and analytical concepts
- Experience working at the intersection of data analytics and machine learning
- Practical knowledge of machine learning methods, such as:
- classification, regression, clustering, forecasting
- basic neural network concepts
- Strong analytical mindset with the ability to work in ambiguous, evolving problem spaces
- Collaborative, detail-oriented, and comfortable working in cross-functional and matrixed environments
- Minimum 2 years of relevant professional experience in data analytics, data science, data engineering, or a related role
- Strong critical thinking, communication, and stakeholder management skills
Preferred Qualifications
- Bachelor’s degree or higher in engineering, mathematics, statistics, data analytics, computer science, or operations research
- Experience with cloud-based data and analytics technologies (e.g. Azure, Spark, SQL-based data processing)
- Familiarity with data visualization and storytelling (e.g. Power BI)
- First hands-on exposure to generative AI concepts, such as:
- LLM-based applications
- prompt design and evaluation
- AI-assisted analytics or automation use cases
- Interest in evolving towards end-to-end AI-enabled analytics solutions, not purely reporting
For this role, we require a few days of in-office presence per week (50%/month).
Click on apply if this sounds like you!
At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week tomaintainour culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will beindicatedin the job posting.
Becton,Dickinsonand Companyisan Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.
To learn more about BD visit:https://bd.com/careers
Required Skills
Optional Skills
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Primary Work Location
DEU Frankfurt - Walther-von-Cronberg-PlatzAdditional Locations
DEU Kelberg - RowastrasseWork Shift
At BD, we are strongly committed to investing in our associates—their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You.
Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates’ progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed.
The salary or hourly rate offered to a successful candidate is determined by their experience, education, and skills, as well as the labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location.
Salary Range Information
€63 600,00 - €96 975,00 EUR AnnualPeople here are amazing, and their passion for what they do comes through in everything they do.
Wendoly LaVolpe
Employer Brand Manager NA & LATAMs
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