Junior Data Scientist

Job Description

Our Team is looking for Junior Data Scientist. We support Our Organization’s 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 Data Science and AI strategy, serving as a DS and AI community facilitator and helping non-technical colleagues to mature their understanding of DS and AI.

What will you do?

• Work on Data Science, Econometrics, and Machine Learning projects within our division under the guidance of more experienced data scientists.
• Write efficient and maintainable code following best practices in software engineering to implement data science algorithms.
• Provide precise and timely communication (both verbal and written) & collaboration with diverse stakeholders.
• Understand the context behind business decisions.
• Implement new features in the existing DS/ML pipelines using Python/R and leveraging advanced techniques including simulations, optimization, and machine learning.
• Assess the output of analytical solutions and interpret data to draw conclusions, identify options, and provide recommendations to stakeholders.
• Build and maintain knowledge on the data sources, the data quality and metadata.
• Recognize repeatable situations and suggest the appropriate level of automation of analytics.

• University Degree.
• Experience building Data Science and Machine Learning models through university projects or internships.
• Passion for advanced algorithms and good quality code.
• Strong programming skills in Python and/or R.
• Strong communication and interpersonal skills, including the ability to make presentations to stakeholders.
• Extensive knowledge in one or more of the following areas: mathematical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulations, software development.
• The ability to formulate models, analyze them, program, and run in some appropriate system.
• Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use analytics results within the real business context.
• Experience with version controls systems and collaboration tools (e.g., Git, Jira).
• Experience and/or ability to quickly learn new tools (e.g., Databricks).
• Ability to work both independently and collaboratively within a global team.

Current Employees apply HERE

Current Contingent Workers apply HERE