Job Description

As a Senior Data Scientist, you will bring in software engineering best practice to facilitate data science product development and deployment. You will leverage your expertise in quantitative methodologies and software development to solve complex optimization problems and simulate intricate systems for our supply chain and manufacturing division. You will collaborate with cross-functional teams, including IT and operations, to design and implement robust analytics solutions at scale within production systems. You will also engage in an ad-hoc consulting role to support various projects across the organization. Our data science team is involved in every project phase, from ideation and business case development, through data discovery and preparation, to model development, prototyping, and facilitating adoption.

Primary Job Responsibilities:

Design, lead, and document the development of analytics applications, platforms, and processes to unlock value through scientific insights and empirical analysis

Develop end-to-end digital solutions, including automation of data workflows and integration into existing systems, ensuring seamless deployment for operational use

Build and disseminate in-depth domain knowledge of emerging trends in operations research and analytics, fostering collaboration with cross-functional stakeholders across the organization

Independently design and develop innovative quantitative methodologies with a focus on operations research, including nonlinear mixed-integer optimization problems and simulations of complex systems, to drive data-driven decision-making and influence key initiatives within the company

Apply operations research techniques to create tools for process optimization, resource allocation, and supply chain management, enhancing efficiency and effectiveness. Engage with customers and stakeholders to understand their needs, requirements, and expectations, ensuring alignment with business objectives, particularly in the context of supply chain optimization

Stay updated on current best practices, methodologies, and technologies in operations research, software development, and analytics landscape, including compliance and ethical considerations

Design and develop front end for various small to medium level applications

Required Experience, Qualifications, and Skills:

Master’s degree in operations research, engineering, applied mathematics, software engineering, or a related technical field with four years of relevant experience in operations research and software development projects

Ph.D. in operations research, engineering, applied mathematics, software engineering, or a related technical field two years of relevant experience

A strong software engineering mindset, emphasizing the importance of producing high-quality code, documentation, and effective software solutions

A data-centric mindset, focusing on how data can be leveraged to create actionable insights and drive business value, particularly in supply chain contexts

Hands-on knowledge of operations research methodologies, including but not limited to convex programming, mixed integer programming, stochastic modeling, and simulation techniques

Proven hands-on experience with programming languages such as Python, Julia, R, or similar, with practical skills in libraries relevant to operations research solutioning (e.g. CPLEX, Gurobi, XPRESS, scikit)

Familiarity with data preprocessing and feature engineering for both structured and unstructured datasets, data modelling and SQL

Experience in front-end development & deployment, e.g. Dash, Streamlit, JS, React, posit, AWS or similar

Knowledge of experiment tracking methodologies and tools to monitor model performance and maintain reproducibility

Good communication skills to effectively convey complex information to both technical and non-technical stakeholders

Experience working within Agile frameworks and methodologies

Experience with software architecture, reusable components and infrastructure

Preferred:

Knowledge of best practices in CI/CD to streamline software deployment and lifecycle management

Familiarity with containerization technologies such as Docker and Docker Compose for application deployment

Experience deploying analytics solutions and optimization models in cloud environments, particularly AWS or similar platforms

Exposure to simulation software and techniques for modeling real-world processes

Understanding of the integration of operations research methods within machine learning frameworks to enhance decision-making processes

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, 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:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

02/27/2025

*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.

Requisition ID:R336365