Data Scientist
Job description
Trask is a company with a turnover of more than a billion and hundreds of experts who have been bringing the latest technologies and innovations to the Czech and European markets for more than a quarter of a century.
Our Data Science team uses the power of data to help businesses make the right strategic and operational decisions. We work with large clients in the financial sector, optimise processes at ŠKODA AUTO, create a real-time recommendation engine, etc.
Trask is a company with a turnover of more than a billion and hundreds of experts who have been bringing the latest technologies and innovations to the Czech and European markets for more than a quarter of a century.
Our Data Science team uses the power of data to help businesses make the right strategic and operational decisions. We work with large clients in the financial sector, optimise processes at ŠKODA AUTO, create a real-time recommendation engine, etc.
Job description
- Solving business problems that contribute to our clients' current and future success through Data Science methods, including areas such as Generative AI, NLP, audio and image processing
- Designing and developing Machine Learning models, developing advanced scalable AI solutions and deploying them into real world operations
- Development and evolution of AI data products, both in the client environment and within R&D development (prototyping, demo solutions)
- Data transformation and scripting, advanced visualization
- Analysis, design and implementation of solutions at customer sites
Required qualifications
- Demonstrable experience as a Data Scientist or similar position
- Very good knowledge in one or more of the following areas: mathematical analysis and modeling, probability, stochastic processes, econometrics, machine learning, optimization, simulation
- Ability to write robust and testable code in Python
- Experience with ML frameworks (TensorFlow/PyTorch) and libraries (scikit-learn)
- Experience with data visualization frameworks and tools (plotly, Power BI)
- Experience in application development with Monitoring, Build Tools, Version Control, Test-suites
- Knowledge of PySpark platform and Databricks is a big advantage
- Knowledge of full ML lifecycle management tools (MLflow)
- Experience in managing ML artifacts and deploying ML models (TensorFlow Serving/FastAPI/Serverless deployment)
- Experience with Docker and Kubernetes on Azure/AWS/OpenShift
- Analytical mindset with problem solving skills
- College degree in computer science, mathematics or similar field
- Active knowledge of the Czech or Slovak language is essential
What are we offering
- Customized working hours: Flexible scheduling tailored to your individual needs.
- Vacation and time off: Guaranteed 5 weeks of vacation and 3 sick days.
- Flexible work environment: Ability to work from home, company offices, or directly at client sites.
- Education: Training, conference attendance, e-learning programs, and language courses.
- On-site refreshments: Diverse selection including cookies, fruit, coffee, and hot chocolate.
- Seamless mobile communication: 50 GB of mobile data + unlimited company-paid calling. Discounted O2 Family tariffs for family members.
- Choice of benefits: MultiSport card, pension insurance contribution, discounts (Alza, pharmacies, tickets, and other experiences).
- Additional employee perks: Access to employee loans, discounts with business partners, opportunities for volunteer work, and participation in team-building activities.
Advantageous skills
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We design and deliver cutting edge IT projects for enterprise innovators. Any size. End to end.
Interested in this position?
Our 5 stage recruitment process
Send us your CV or LinkedIn profile, and by the next business day, you’ll hear from us. Glide through the first interview and your future manager will be keen to meet you for a follow-up chat. Impress there, and an offer will be on the table before you know it. Yes, it's as straightforward as it sounds.
If your role is technical, we like to ensure a perfect fit with a simple test task. Consider it a sneak peek into the exciting challenges you'll tackle with us.
Submit your resume or LinkedIn profile, so we can meet you.
Begin our conversation with a call or e-mail.
First interview to discuss your potential and role.
Second interview with
a test task
If everything clicks, we give you a job offer.
