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Job Description
Key Responsibilities:
Technically support current and new Data Science requests within the QA space, including developing new innovative models and maintaining current solutions.
Become a subject matter expert (SME) on the current R&D Quality Data Domain in our Data Science projects.
Effectively communicate insights and results from data analysis to both the QA Analytics team and the business stakeholders.
Understand the business challenges and business context of our advanced solutions that we support.
Collaborate with the QA Analytics team to discover new innovative solutions to our business problems
Build and design algorithms utilizing Generative AI for QA use cases.
Identify opportunities to use Generative AI and work with leads to determine the best implementation approach and collaborate with business stakeholders to understand how to best utilize AI or Data Science algorithms.
Be an active member of internal data science community, along with participating in external company consortiums to understand how the industry is using cutting-edge technology.
Provide mentorship and education for team members interested in Large Language Model (LLM), Generative AI, data literacy, or other advanced analytics concepts to upskill our team and business
Qualifications:
Minimum 5 years of experience using advanced analytical tools, such as Python, R, and advanced SQL
Knowledge of data visualization tools, such as PowerBI and Spotfire, preferred.
Ability to develop new analytical models for advanced technical needs such as machine learning, forecasts, simulations, and optimizations.
Familiarity with data science and AI tools such as Dataiku
Passion in learning and exploring the capabilities of new technology, as well as how to implement these technologies, such as Generative AI
Strong communication and collaboration skills.
Ability to understand business challenges and translate them into technical solutions.
Experience supporting and working with cross-functional teams in a global organization.
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 (e.g., even 80% full-time is possible in justified cases)
Pension and health insurance 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, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programes
Up-to-date laptop and iPhone
Parking in the garage, showers, refreshments, massage chairs, library, music corner
Competitive salary, incentive pay, and many more
Current Contingent Workers apply
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