Data Scientist

Roles and responsibilities

The role involves the application of advanced statistical and machine learning methodologies to analyze time series and genomic data, with a focus on enhancing decision-making and fostering innovation within the dairy and beef industries. You will work closely with product managers, data scientists, software engineers, and subject matter experts to create impactful data science products. Your mathematical and statistical expertise will be crucial in optimizing product performance and maximizing overall value.

Qualifications

To be successful in this position, you should possess proficiency in programming languages such as Python and R, which are essential for data analysis, modeling, and algorithm development. A solid foundation in statistical analysis, machine learning, and linear algebra is vital, as these skills will underpin your ability to derive insights from complex datasets.

Your experience with bioinformatics tools for DNA sequence analysis, including but not limited to BLAST, Plink, and GATK, will be a significant asset. Familiarity with multi-level statistical methods, such as Best Linear Unbiased Estimator (BLUE) and Restricted Maximum Likelihood (REML), is also important, as these techniques are often applied in genomic research and data analysis.

In this position, you will be expected to engage in collaborative efforts across various teams, ensuring that the data science products you help develop are aligned with industry needs and innovations. This collaborative environment will provide you with the opportunity to influence product direction through your analytical insights and to contribute to the overall success of projects.

Your role will not only involve technical analysis but also a strong emphasis on translating complex data findings into actionable recommendations. As such, effective communication skills are essential for articulating your insights to diverse stakeholders. You will need to convey intricate statistical concepts in a manner that is accessible and relevant to non-technical team members.

Desired candidate profile

Staying abreast of the latest developments in machine learning and genomic analysis is crucial, as the fields are rapidly evolving. Continuous learning and adaptability will be key to your success in this role, enabling you to implement cutting-edge techniques that can drive significant advancements in the industry.

In summary, this position calls for a combination of technical prowess, collaborative spirit, and effective communication to leverage data science in enhancing the dairy and beef sectors. Your analytical skills, along with your proficiency in relevant tools and methodologies, will play a pivotal role in shaping data-driven strategies that lead to innovative solutions and improved outcomes in livestock management and production.