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.

THE OPPORTUNITY

• 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.

THE SKILL SET

• 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, Hadoop)
• 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