Data Scientist - Associate Director

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MSD

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Description

• Are you passionate about leveraging data to drive impactful decisions? Join our company as a Data Scientist, Associate Director and be at the forefront of innovative health solutions • Our mission is to save lives by advancing the prevention and treatment of diseases, and our team is dedicated to workforce analytics, serving HR and the workforce as our clients • As a key member of our team, you will design and implement advanced models, enhance AI/ML capabilities, and collaborate with various stakeholders to deliver actionable insights • If you are driven by curiosity and have a knack for solving complex problems, this is the perfect opportunity for you to make a difference

Requirements

• 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

Benefits

• 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