Agro Data Science Analyst

hace 1 semana

Cornellà de Llobregat Barcelona provincia, España PepsiCo A tiempo completo

Overview:
As part of the Analytics stream of the Global Agro Digital Transformation initiative, this role will support the development of analytics use cases for Agro, mostly in the data exploration and visualization, and the modeling of agricultural processes (crop modeling, storage modeling). Will be in charge of generating insights from agronomic data, in order to provide recommendations to maximize the agricultural production of supplies in a sustainable way and with good quality.

**Responsibilities**:

- Generate insights from agronomic data, in order to provide recommendations to maximize the agricultural production of supplies in a sustainable way and with good quality.
- Ensure data access for discovery and proper data is prepared for model usage partnering with data engineers.
- Generate analytics pipelines and dashboards to refresh and share results for main use cases, including geo-spatial information, to enable stakeholders to have access to main results.
- Support large-scale experimentation and build data-driven models.
- Deploy reusable models and recommendations engines to different regions, with proper localization to its particularities.
- Research in methodologies to fine tune the approach for every analytics use case, with the validation of leads.
- Generate reusable packages or libraries, with proper documentation.

Qualifications:

- 1+ years’ experience building solutions in the supply chain space.
- 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Docker are a plus.
- 2+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
- 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
- 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or pyspark development.
- Experience using geo-spatial datasets.
- Experience with crop modeling is a plus.
- Experience with climate/weather data is a plus.
- Experience with remote sensing is a plus.
- Experience with computer vision is a plus.
- Experience with sustainability topics is a plus.
- Experience deploying analytics into production using Azure or Databricks environments is a plus.
- Fluent in one Visualization tool, ideally powerBI.

**Differentiating Competencies Required**:

- Working in a global project, with most connections and meetings being virtual.
- Presentation and communication skills.
- Assertivity to interact with collegues with different cultural and technical skills.
- Flexibility to eventually attend some calls at different timezones.
- Interest to learn about Agro and sustainability.
- Ability to attend field visits if needed.

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