About the Company
ZAGENO offers the largest life sciences lab supply marketplace. Our one-stop shop helps scientists, lab managers, and procurement leaders compare products, source alternatives, track deliveries, and communicate order statuses in real time. Leveraging advanced AI, ZAGENO enhances supply chain resilience and makes the customer experience superior, seamlessly integrating with existing systems to boost productivity and make online shopping for research materials convenient, efficient, and reliable.
About the Role
We are looking for a Data Scientist to build and maintain high-quality models that directly influence business decisions across pricing, shipping, conversion optimization, supplier intelligence, and operational automation.
You will work closely with our Senior Data Scientist and cross-functional teams to turn well-defined analytical problems into production-ready solutions. This role is right for someone who is strong at modeling, cares about rigor, and wants to see their work drive real outcomes.
What You’ll Do
Modeling & Analysis
- Build predictive, optimization, and ranking models across key business domains including pricing, forecasting, and conversion
- Select appropriate modeling approaches by balancing performance, interpretability, and maintainability
- Conduct rigorous model evaluation using both technical metrics and business-relevant outcomes
- Iterate on models based on feedback from experiments and production performance
Experimentation & Evaluation
- Support experiment design and analyze results to validate model effectiveness
- Monitor model performance and coverage in production
- Identify and flag degradation or drift proactively
Scalable & Production-Ready Work
- Write clean, reusable code that can be productionized, not just prototyped
- Collaborate with Data Analysts and Engineers to deploy and maintain solutions
- Contribute to shared feature logic, data models, and analytical standards
Cross-functional Collaboration
- Work with Senior Data Scientists, Product, and Engineering teams to understand requirements and deliver reliable solutions
- Communicate modeling decisions and trade-offs clearly to technical peers
About You
Required
- 2-5 years of experience in Data Science, Applied ML, or Advanced Analytics
- Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, or PyTorch) and SQL
- Hands-on experience with predictive modeling, experimentation, or optimization
- Solid understanding of statistics, model evaluation, and complexity vs. interpretability trade-offs
- Experience working with large datasets; familiarity with distributed computing tools like Spark is a plus
- Ability to write production-quality code and collaborate with engineering teams
Preferred
- Experience in B2B marketplaces, eCommerce, pricing, supply chain, or operations analytics
- Experience with Databricks or large-scale data environments
- Exposure to ranking systems, forecasting, or recommendation systems
- Familiarity with ML deployment and monitoring in production environments
What Success Looks Like
- Models are built rigorously, ship on time, and perform reliably in production
- You iterate quickly and improve model quality based on experiment results
- Your code and modeling work is reusable and raises the team’s overall capability
- You communicate trade-offs clearly and flag risks early
Skills Required
- 2-5 years of experience in Data Science, Applied ML, or Advanced Analytics
- Strong proficiency in Python
- Experience with ML libraries (scikit-learn, TensorFlow, or PyTorch)
- Proficiency in SQL
- Hands-on experience with predictive modeling, experimentation, or optimization
- Solid understanding of statistics, model evaluation, and complexity vs. interpretability trade-offs
- Experience working with large datasets
- Familiarity with distributed computing tools like Spark
- Ability to write production-quality code and collaborate with engineering teams
- Experience in B2B marketplaces, eCommerce, pricing, supply chain, or operations analytics
- Experience with Databricks or large-scale data environments
- Exposure to ranking systems, forecasting, or recommendation systems
- Familiarity with ML deployment and monitoring in production environments
What We Do
ZAGENO is on a mission to accelerate scientific innovation by streamlining biotech purchasing processes with its award-winning, first-of-its-kind e-commerce platform. With over 25 million product SKUs available from more than 5,000 unique product brands, ZAGENO makes online shopping for any research material convenient, efficient and reliable. The ZAGENO experience includes its Scientific Score, a best-in-class product rating system that offers unbiased, peer-reviewed ratings to support accurate purchasing decisions. Available on desktop, tablet, and mobile devices, ZAGENO makes biotech purchases easier than ever and is an ideal sales channel for suppliers and partners. Founded in 2015, the company is headquartered in the United States and has additional offices in Germany, and Poland. For more information, visit www.zageno.com.
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