Senior Data Scientist Full-time

Senior Data Scientist

Our Company's IT Data Science and AI team is looking for a Senior Data Scientist with a strong background in mathematics and statistics to join our team. Our team supports one of our key business areas – research and development, manufacturing, supply chain, commercial, and animal monitoring – through data science and AI delivery. This role allows you to work on impactful data science products and collaborate with other data scientists and AI engineers, building a community that learns, challenges, and inspires each other. Our team is shaping the Our Data Science and AI strategy, serves as a DS and AI community facilitator and helps non-technical colleagues to mature their understanding of DS and AI.

What will you do?

• Selecting appropriate analytical techniques and algorithms to solve business challenges.
• Ability to choose the right tools and the right infrastructure for data science projects and articulate those decisions.
• Ensuring quality delivery according to the standards and best practices methodology.
• Technical mentorship to junior team members.
• Formulating and leading data science projects.
• Driving the development of the SW code (quality, documented, and reusable) to execute data science algorithms.
• Communication & collaboration with diverse stakeholders.
• Understanding of the business context of the decisions to be supported.
• Building mathematical, statistical, and machine learning models using available data.
• Use of R and/or Python to design and develop analytical models and data science products using advanced techniques such as simulations, optimizations, and machine learning.
• Assessment of the output of analytical solution and use the data to draw conclusions, identification of options, and making recommendations.
• Interpret the results and provide the advices to the business stakeholders.
• Building and maintaining knowledge on the data sources, the data quality, and metadata.
• Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics.
• Promotion of a culture of modelling and analytics as a differentiator and competitive advantage – an environment that places high value on embedding analytical tools within business processes, and using information to make fact-based decisions.
• Staying in touch with modern methodology within predictive modelling.

Qualifications, Skills & Experience Required

• MSc or PhD in Mathematics, Statistics, Econometrics, Machine Learning, Computer Science, Physics, or other related field.
• Passion for advanced analytics and mathematics.
• Passion for good quality code.
• Record of delivering successful data science products is an advantage.
• Experience with building predictive ML pipelines.
• Experience with simulations, synthetic data, and building digital twins would be a big advantage.
• Strong communication and interpersonal skills, including the ability to make high-level presentations to senior executives.
• Ability to analyze business challenges and define data science projects.
• Ability to formulate models, program them and run in an appropriate system.
• Extensive knowledge in one or more of the following areas: statistical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulations, and software development.
• 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.
• Experience with version control systems such as git and collaboration tools.
• Experience and/or ability to quickly learn new tools like Databricks, HPC.
• Ability to work both independently and collaboratively within a global 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 (e.g., even 80% full-time is possible in justified cases).
• 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, sport, culture, health, travel, etc.), Multisport Card.
• Vodafone, Raiffeisen Bank and Foodora 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.

Required Skills:

Business Intelligence (BI), Business Processes, Business Process Modeling, Collaboration Tools, Computer Science, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Econometrics, Machine Learning (ML), Macroeconomics, Manufacturing, Product Lifecycle, Research and Development, Senior Management Reporting, Software Development, Stakeholder Relationship Management, Stochastic Models, Stochastic Processes, Waterfall Model

Preferred Skills: