Senior Data Scientist
Vendavo
- Praha
- Trvalý pracovní poměr
- Plný úvazek
- 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.
- 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.
- 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