Data Scientist

Job Description

We are seeking a hands-on technically strong Data Scientist in Prague to accelerate the adoption of our data science platforms and AI/ML solutions. At our company we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and this role you will combine deep technical expertise with consultative engagement training and enablement to help analytics teams move from prototypes to production. Join us and be a customer-facing champion for best practices in data science and ML lifecycle management.

Responsibilities

• Drive product adoption and value realization by partnering with business stakeholders data scientists ML engineers and IT

• Develop and execute adoption plans and success metrics for Databricks Dataiku and other data science tools

• Identify and prioritize adoption opportunities and escalations to maximize impact

• Build review and optimize end-to-end ML pipelines using Databricks Dataiku and Python

• Implement MLOps practices including CI/CD for ML model versioning monitoring and automated deployment

• Design and deliver workshops training sessions and webinars for technical and non-technical audiences

• Produce clear documentation how-to guides and best practice playbooks for common workflows

• Work with product managers platform engineers and security/compliance teams to ensure governed scalable adoption

Qualifications

Required

• 5 years of hands-on experience in data science machine learning or MLOps roles with proven experience shipping models to production

• Deep experience with Databricks Python and MLOps practices and tooling

• Strong understanding of the entire ML lifecycle including data ingestion feature engineering model training validation deployment and monitoring

• Excellent communication and stakeholder management skills with experience delivering training and technical enablement to diverse audiences

Preferred

• Prior experience in a product adoption customer success or technical enablement role within an enterprise environment

• Experience integrating data science platforms with data warehouses data lakes BI tools and Dataiku

• Familiarity with data privacy security and regulatory requirements for ML systems

• Bachelors or Masters degree in Computer Science Engineering Data Science Statistics or a related quantitative field

What We Offer

• Exciting work in a great team global projects international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model flexible role pattern

• Pension and health (Canadian Medical) contributions

• Internal reward system plus referral program

• 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers sport culture health travel etc.) Multisport card Vodafone Raiffeisen Bank and Foodora discount programs

• Up-to-date laptop and iPhone parking in the garage showers refreshments

• Competitive salary incentive pay and many more

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