Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
About the role
- Data Scientist leading BI and ML modeling projects for PayPal’s Risk and Core Platforms. Collaborating with cross-functional teams to deliver scalable, data-driven solutions and insights.
Responsibilities
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives
- Collaborate with cross-functional teams to understand data needs and provide actionable insights
- Ensure data quality and integrity through regular audits and validation processes
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement
Requirements
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
- Experience in Analytics & Data Science, Data Engineering, ETL data pipelines, and BI Reporting, including A/B testing and advanced analytics — preferably in a fintech/banking Risk and Regulatory space
- Experience working in Second Line of Defense, Financial Crimes, and customer protection areas is preferred
- Demonstrated success partnering with Strategy, Business, and Product teams in domains such as fintech, banking, and payments to deliver impactful, data-driven insights
- Proven ability to lead and manage analytics and data science projects end-to-end, from ideation to delivery, leveraging data modeling, machine learning algorithms, and advanced analytics techniques
- Extensive experience analyzing high-volume, high-dimensional real-world data, with a focus on scalable solutions and measurable business outcomes
- Advanced proficiency in SQL and Python, with expertise in extracting, processing, and generating actionable insights from large, complex datasets
- Hands-on experience with modern data tools and platforms, including Jupyter Notebooks, BigQuery, Teradata, Hadoop, and Hive
- Strong expertise in designing and building executive dashboards and impactful data visualizations using Tableau, Power BI, and Looker to drive data-informed decision-making at the leadership level
- Exceptional communication and data storytelling skills, with the ability to translate complex analyses for both technical and non-technical audiences and influence cross-functional decisions
Benefits
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security and support your mental health
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