Data Scientist

CZE - Central Bohemian - Prague (Five)

MSD

At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.

View all jobs at MSD

Apply now Apply later

Job Description

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!

Current 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:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):


Required Skills:

Data Science, Machine Learning, Simulation Models, Synthetic Data


Preferred Skills:

Job Posting End Date:

11/1/2024

*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.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Data Science Jobs

Tags: AI strategy Computer Science Consulting Data quality Econometrics Finance Git Machine Learning Mathematics ML models PhD Physics Python R Research Statistics

Perks/benefits: Career development Competitive pay Flex hours Gear Health care Parental leave Relocation support Startup environment Team events

Region: Europe
Country: Czechia

More jobs like this