Data Scientist

To our tech hub in Prague, Animal Health IT Advanced Analytics team is looking for a data scientist with a strong background in mathematics and statistics to join our team. Our team supports AH across all business areas: research and development, manufacturing, supply chain, commercial and finance. You will have a chance to apply and sharpen data science skills solving a diverse set of business challenges offering a fast growth and learning from senior colleagues. This role allows you to work on impactful projects and collaborate with divisional data scientists, building a community that learns, challenges, and inspires each other. Our team is shaping the AH Data Science and AI strategy, serves as a DS and AI community facilitator and helps non-technical colleagues to mature their understanding of DS.

Responsibilities

• Selecting appropriate analytical techniques and algorithms to solve business challenges
• Participating in selecting appropriate tools and infrastructure for data science projects
• Development of the SW code (good quality, documented, and reusable) to execute data science algorithms
• Providing precise and timely communication (both verbal and written) & collaboration with diverse stakeholders
• Understanding the business context of the decisions to be supported
• Building mathematical, statistical, and machine learning models using the available data
• Use of R and Python to design and develop analytical models and data science products using advanced techniques such as simulations, optimizations, machine learning
• Assessing the output of analytical solutions and using the data to draw conclusions, identify options, and make recommendations.
• Interpreting the results and consulting business stakeholders on options/recommendations
• Building and maintaining knowledge of the data sources, the data quality, and metadata
• Recognizing repeatable situations and suggesting the appropriate level of automation of analytics

Qualifications

• MSc Degree in Mathematics, Statistics, Econometrics, Physics, Computer Science, or another related field
• 1-3 years of full-time working experience or PhD graduate
• Passion for maths and algorithms
• Experience with simulations, synthetic data, and building digital twins would be a big advantage
• Passion for good quality code
• Experience with version control systems such as git and collaboration tools
• Demonstrated communication and interpersonal skills, including the ability to make high-level presentations to senior executives
• The ability to formulate models, analyze them, and program and run in some appropriate system (R and Python)
• Experience and/or ability to quickly learn high-performance computing
• Extensive knowledge in one or more of the following areas: simulations, synthetic data, digital twins, mathematical analysis, modelling, probability, stochastic processes, econometrics, machine learning, and optimization
• Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including the ability to interpret and use the analytics results within the real business context
• Ability to work both independently and collaboratively within a globally dispersed team

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
• 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, Lítačka, sport, culture, health, travel, etc.), Multisport Card
• Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes
• Up-to-date laptop and iPhone
• Parking in the garage, showers, refreshments, massage chairs, 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!