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MSD Data Scientist Associate Director 
Czechia, Prague, Capital City of Prague 
945058357

24.11.2024

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:

You are ready if you have:

  • 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.

Nice to have, but not essential:

  • 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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