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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
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
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.
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