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MSD GSMG Senior Data Scientist – Specialist 
Czechia 
416413682

15.09.2024

Job Description

The Senior Data Scientist is a pivotal role within the Data Science section of the GSMG Data & Analytics team, tasked with developing advanced data analysis systems, applications, and models for predictive and prescriptive analytics as well as Generative AI. This role requires a synergistic blend of technical prowess and strategic communication, as well as the ability to guide junior team members and lead projects independently.

Key Responsibilities:

  • Deliver statistical and mathematical models through effective technical leadership.

  • Develop sophisticated software assets that provide advanced analytical functionality both independently and as part of a team.

  • Leverage domain expertise, statistical methods, and algorithms to analyse and interpret data sets, organising information to unearth actionable insights and solve complex problems.

  • Collect, cleanse, transform, and integrate data from various sources, including databases and data that exceeds memory limits.

  • Develop and code software programs, algorithms, and automated processes to maintain data integrity

  • Understand business challenges, limitations, constraints, and goals to align data science capabilities with business needs.

  • Ensure that advanced analytics are seamlessly integrated into decision-making processes and business tasks.

  • Develop and maintain strong relationships with stakeholders to identify project opportunities and define project scope.

  • Promote a collaborative, high-performing data-driven culture across the company.

Education & Experience:

  • Bachelor's degree or higher in Mathematics, Statistics, Economics, Computer Science, or a related field.

  • 3+ years of relevant experience in data science, experience with Procurement or Supply Chain business is a plus.

Skills:

  • Advanced knowledge of one or more programming languages used in data science like R or Python.

  • Experience with machine learning and statistical modelling techniques and their applications for solving business problems.

  • Experience with building web applications and interactive reports using frameworks like Shiny (R/Python), Dash, Streamlit, Quarto, Rmarkdown

  • Experience with developing Generative AI applications using LangChain or a custom codebase is a significant plus.

  • Strong working knowledge of SQL

  • Demonstrated ability to solve analytical problems with strong analytical and problem-solving skills.

  • Excellent communication and presentation skills for effectively conveying technical information to non-technical audiences.

  • Proficiency with data visualization tools and techniques.

  • Ability to work independently and collaboratively in a team environment.

  • Strong attention to detail and commitment to data quality and accuracy.

  • Familiarity with version control, agile methodologies, and project management principles.

  • Fluent English is required.

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


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A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.