Jobs and Careers
MS
Senior Data Scientist
MSDCzechiafull_timeVerifiedPosted 18 Feb 2025
About the role
<p>Job Description</p><p></p><p><span>We are seeking a <b>Senior Data Scientist</b> to join our Enterprise IT Advanced Analytics </span><span>team <b>in Prague</b>. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you.</span></p><p></p><p><b>Responsibilities</b></p><ul><li><p><span>Understand the needs of the business and translate those needs into technical/DS/ML language</span></p></li><li><p><span>Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models</span></p></li><li><p><span>Leverage </span><span>software </span><span>engineering methods</span><span>, including coding, testing, and documentation</span></p></li><li><p><span>Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions</span></p></li><li><p><span>Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution</span></p></li><li><p><span>Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery</span></p></li><li><p><span>Within a project delivery, m</span><span>anage stakeholder relationships, including problem resolution and feedback collection</span></p></li><li><p><span>Collaborate cross-functionally to deliver more complex IT or business solutions</span></p></li></ul><p></p><p><b>Qualifications</b></p><p>Required</p><ul><li><p><span>Advanced knowledge of </span><span>statistical modeling and </span><span>machine learning</span><span>, in particular regression, classification and forecasting models</span></p></li><li><p><span>Proficiency in R and/or python, git</span></p></li><li><p><span>Experience in software development and data engineering with a focus on machine learning solution build and deployment</span></p></li><li><p><span>Ability to apply data engineering and data modeling on a level supporting data science delivery</span></p></li><li><p><span>Ability to apply visual analytics techniques and tools on a level supporting data science delivery</span></p></li><li><p><span>Experience in project management, including risk management and stakeholder management</span></p></li><li><p><span>Working proficiency in English language</span></p></li></ul><p></p><p>Preferred</p><ul><li><p><span>Knowledge of large language models</span><span> (prompt engineering, RAG, agents...)</span><span>, not limited to GPT</span></p></li><li><p><span>Knowledge of mathematical optimization techniques</span></p></li><li><p><span>Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring</span></p></li><li><p><span>Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions</span></p></li><li><p><span>Knowledge of cloud services, in particular AWS stack</span></p></li><li><p><span>Knowledge of data science platforms: Dataiku, Databricks</span></p></li><li><p><span>Experience in a similar role in a global, research-oriented pharmaceutical company</span></p></li><li><p><span>Proven track record of implementing machine learning and data science solutions</span></p></li><li><p><span>Experience in managing stakeholder relationships</span></p></li><li><p><span>Demonstrated experience in software development and data engineering</span></p></li><li><p><span>Proven experience in project management</span></p></li></ul><p></p><p><b>Our Offer</b></p><ul><li><p>Exciting work in a great team, global projects, international environment </p></li><li><p>Opportunity to learn and grow professionally within the company globally </p></li><li><p>Hybrid working model, flexible role pattern </p></li><li><p>Pension and health insurance contributions </p></li><li><p>Internal reward system plus referral programme </p></li><li><p><b>5 </b>weeks annual leave, <b>5 </b>sick days, <b>15 </b>days of certified sick leave paid above statutory requirements annually, <b>40 </b>paid hours annually for volunteering activities, <b>12 </b>weeks of parental contribution </p></li><li><p>Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card </p></li><li><p>Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes </p></li><li><p>Up-to-date laptop and iPhone </p></li><li><p>Parking in the garage, showers, refreshments, library, music corner </p></li><li><p>Competitive salary, incentive pay, and many more </p></li></ul><p></p><p><b>Ready to take up the challenge? 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