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Job Description
Your Core Responsibilities:
Design, develop, enhance, and implement models that delve deep into our workforce data, ensuring high standards of quality, relevance, and usability.
Boost AI/ML capability within the team, using the latest methods and tools to extract insights from text, activity, behavioral, and network data.
Develop and deploy solutions that are robust, scalable, and meet the needs of a diverse user base, including supporting an LLM-based app in production with thousands of users.
Collaborate with data scientists, data engineers, devops engineers, solution architects, and the data science community of practice, to amplify data science capabilities and drive innovation.
Work closely with our client-facing teams to address business needs, providing research solutions that are both insightful and actionable.
Act as an AI/ML expert, advising HR colleagues and end users on the best usage within the HR domain.
Technically lead and mentor a team of data scientists and data engineers, fostering a collaborative and innovative environment.
Manage research projects from inception to completion, ensuring agile delivery and alignment with business goals, while also managing relationships and influencing non-technical stakeholders.
Who You Are:
Minimum of 10 years of experience in data science or machine learning engineering with a Bachelor’s degree from an accredited institution in Computer Science, Data Science, Machine Learning, Statistics, or another related field. (With a Master’s degree, minimum experience is 8 years)
Expertise in using Python, R, and SQL to execute a solid portfolio of data science projects involving statistical inference, classical machine learning, and deep learning frameworks.
Solid understanding of NLP tools, methods, and pipeline design, including experience using large language models (LLMs).
Proven leadership in team project settings.
Experience with cloud computing platforms, such as AWS and Databricks, and related tools.
Familiarity with version control systems.
Openness to coaching and learning from team members with different specializations.
Exceptional initiative, curiosity, communication skills, and a team-first orientation.
Demonstrated interest in projects focused on the workforce.
Familiarity with product management and agile methodologies.
MLOps experience is a big plus, and LLM app deployment experience is ideal.
Ability to manage relationships, influence non-technical stakeholders, and tell a great data story.
Understanding of HR data, processes, information systems, and governance.
Ability to conduct literature reviews and leverage external research to stay on top of best practices in AI/ML and data science in human capital management.
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 programs
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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