Junior Data Scientist – Agronomy - Piracicaba - Kynetec

    Kynetec
    Kynetec Piracicaba

    há 10 horas

    Marketing / Publicidade / Relações Públicas
    Descrição

    Kynetec is the global leader in agricultural and animal health market insights. We have a long history of market research expertise, specialising in animal health and nutrition, crop protection, farm machinery and equipment, seed/biotech and fertilisers.

    Backed by a team of more than 850 market researchers, interviewers, data analysts, marketing scientists, research operation and data visualization specialists, our number one priority is to ensure that we deliver the highest-quality insight and foresight at the right time to enable our clients to confidently make the best decisions for their business.

    Across the globe, our employees are located across 28 major agriculture and animal health countries. Our coverage extends to major and niche sectors of our industry, where we regularly undertake research projects in more than 80 countries.

    We're looking for a Junior Data Scientist to join and help grow our team in Piracicaba. This is a great opportunity for someone with an agronomy or agricultural background who loves working with data, analytics, and machine learning and wants to develop their skills in a supportive, hands-on environment. Training and development are a key part of this role.

    You'll work closely with multidisciplinary teams, helping turn agronomic data into insights, dashboards, and predictive solutions that support the agricultural sector. If you're excited about data, agriculture, and developing your career as a Data Scientist, we'd love to hear from you.

    Role responsibilities:

    • Perform data queries and manipulation in relational databases (SQL)
    • Develop, maintain, and optimise dashboards and reports in Power BI
    • Use Machine Learning to analyze data and create models that predict outcomes, to automate routine business or operational tasks
    • Support the development of ETL processes using Python scripts
    • Collaborate with cross-functional teams on the integration of agronomic data systems and products

    What we're looking for:

    • Experience with Power BI
    • Solid knowledge of SQL
    • Understanding of programming logic and data structures
    • Background or previous experience in agronomy or the agricultural sector
    • Genuine interest in data, analytics, and machine learning, with a willingness to learn and grow
    • Professional level verbal and written English

    Nice to have:

    • Experience with Git, dbt, or Databricks
    • Knowledge of dashboard frameworks such as Plotly or R
    • Exposure to machine learning and automation tools
    • Understanding of basic design principles for data visualisation

    Why join us?

    • Strong focus on learning, development, and mentorship
    • Opportunity to work with real-world agronomic data and make a tangible impact
    • Collaborative team environment with room to grow

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