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Thu May 16 2024

Senior Data Scientist


Czechia (Prague) On-site, Hybrid


Employment Type: Full-time
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Job Description

We are looking for a Senior Data Scientist to join our data science team and help drive data-driven decision-making across the organization. Data scientists at Vendavo are primarily focused on developing ML Algorithms that are embedded into Vendavo products.

As a Senior Data Scientist , you will be responsible for leveraging your expertise in data science to develop innovative solutions for cutting edge problems within the pricing domain. You will work closely with Cross-functional teams and existing Vendavo Customers to analyze large datasets, conduct research and develop/deploy machine learning models.


  • Work closely with stakeholders to understand business requirements, define success metrics, and communicate findings and recommendations effectively.
  • Evaluate and benchmark machine learning algorithms to identify the most effective solutions for specific business problems.
  • Conduct exploratory data analysis and feature engineering on large datasets to extract relevant information and patterns that can help drive performance of the machine learning models.
  • Take a leading role in advancing our data science initiatives, driving project deliverables, and providing guidance and mentorship to data scientists in the team to foster skill development and enhance team capabilities.
  • Develop and deploy production-ready machine learning models using Python, contributing directly to the enhancement of products.
  • Collaborate with data engineers and software developers to integrate machine learning models into scalable production systems, ensuring seamless functionality within our product suite.
  • Participation on UX design of the final solution
  • Effectively communicate complex data science concepts and findings to non-data science professionals. This involves translating technical jargon into understandable language and using visualizations to convey insights.
  • Stay up to date with industry trends, emerging technologies, and best practices in software engineering.


  • Bachelor’s degree in computer science, Statistics, Mathematics, or a related field; advanced degree (MS/PhD) preferred.
  • 5+ years of professional experience in data science, with a strong focus on Python programming for data analysis, modeling, and production deployment.
  • Strong understanding of statistical modeling, predictive modeling techniques, and machine learning algorithms (e.g., regression, classification, clustering, ensemble methods).
  • Demonstrated ability to lead projects and initiatives, with a strong capacity for mentoring junior data scientists, enhancing team performance, and fostering a collaborative team environment.
  • Excellent communication and collaboration skills, with the ability to work. effectively in cross-functional teams and present technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and attention to detail, with a passion for continuous learning and improvement.
  • You must be a team player, who is positive and fits into our team.
  • You must speak English fluently and be able to communicate in an international environment.

Additional Preferred Skills Include

  • Experience working with large datasets and implementing scalable data processing solutions (e.g., Spark, Dask)
  • Experience with cloud platforms such as AWS, including proficiency in AWS SageMaker, for data storage, processing, and machine learning deployment.
  • Proficiency in SQL for data extraction, transformation, and analysis.

The Benefits

  • Working within a team of friendly, skilled people where help is always within reach
  • Professional growth and development opportunities
  • Use of modern tools and access to experts
  • Team spirit in the workplace, with weekend retreats and fun team activities
  • Opportunities to learn a new field and get a deep understanding of enterprise tech
  • Flexible working hours without micromanagement
  • Personal freedom and focus on individual responsibility
  • Company-sponsored events for employees, volunteer tech talks, and tournaments
  • Weekly English classes, international travel opportunities
  • 25 days of paid vacation + 4 additional company days off to recharge your batteries (1 day each quarter) + 3 sick days + 2 days paid for charity activities
  • Monthly benefits allowance, meal contributions
  • MultiSport card available
  • Modern cozy offices in Prague, Hradec Kralove, and Ostrava, no large open-space floors or cubicles, rec room with games and books
  • High-end laptop (Dell XPS or Mac) and smartphone (Samsung S or iPhone), including personal use
  • Option to use discounted unlimited mobile plan for family members
  • O'Reilly Learning
Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

For more than two decades, we’ve been helping global manufacturers and distributors drive predictable, profitable outcomes with the most robust B2B pricing and selling solutions on the market. And it’s not just about technology. We hire the best people and have a proven process for pricing transformation.


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