Lead Data Scientist
Lead Data Scientist
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1 Vacancy
Job Description
Job Description
Are you passionate about leveraging data to drive impactful decisions Join our company as a Lead Data Scientist 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.
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 (Education minimum requirements subject to change based on country)
You are ready if you have:
Minimum of 10 years of experience in data science or machine learning engineering with a Bachelors degree from an accredited institution in Computer Science Data Science Machine Learning Statistics or another related field. (With a Masters 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 (The primary location is Czechia benefits in other country may vary)
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 insurance contributions
Internal reward system plus referral programme
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 Ltaka sport culture health travel etc.) Multisport Card
Vodafone Raiffeisen Bank Foodora and other discount programmes
Up-to-date laptop and iPhone
Parking in the garage showers refreshments library music corner
Competitive salary incentive pay and many more
Ready to take up the challenge Apply now!
Know anybody who might be interested Refer this job!
The date shown below is the earliest possible closing date for this posting. However we sometimes extend the job posting period as needed so please feel free to apply anytime you see the Apply button may also reach out to the recruiter directly via Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co. Inc. Rahway NJ USA also known as Merck Sharp & Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Not ApplicableShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Cloud Computing Deep Learning Large Language Model (LLM) Fine-Tuning Leadership Machine Learning Machine Learning Operations Natural Language Processing (NLP) Python (Programming Language) R Code R Programming R Script Statistical Inferences Structured Query Language (SQL) Version Control SystemPreferred Skills:
Job Posting End Date:
09/13/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Employment Type
Full-Time
Key Skills
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