Senior Data Scientist

Cognizant; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading technology company seeks a Senior Data Scientist to focus on environmental modeling for row crops like soy and cotton. The candidate will use data-driven insights to enhance agricultural processes while leveraging Python and AWS for machine learning solutions. Ideal applicants should have a strong background in data processing and experience with remote sensing data. Competitive benefits are offered to support career development and well-being.

Serviços

Pension Plan

Medical and Dental Plan

Meal voucher

Transportation voucher

Variable pay

Employee Assistance Program

Qualificações

• Extensive background in environmental modeling, particularly in row crops such as soy and cotton.
• Proficiency in data processing, analysis, and machine learning programming.
• Experience with remote sensing data in modeling is highly preferred.

Responsabilidades

• Develop and implement environmental models for row crops.
• Utilize Python for data processing and analysis.
• Build machine learning models on AWS.
• Collaborate with agronomists and environmental scientists.
• Present analytical findings to stakeholders.
• Mentor junior data scientists.

Conhecimentos

Data processing

Machine learning programming in Python

Building scalable solutions on AWS

Environmental modeling

Remote sensing data utilization

Formação académica

Google Cloud Professional Certification

Descrição da oferta de emprego

Job Summary

We are seeking a highly motivated Senior Data Scientist with an extensive background in environmental modeling, particularly in row crops such as soy and cotton.

The ideal candidate will have strong experience in data processing and machine learning programming in Python, as well as proficiency in building scalable solutions on the AWS platform. Experience with remote sensing data in modeling is highly preferred. This role will focus on leveraging data-driven insights to enhance agricultural process.

Responsibilities

• Develop and implement sophisticated environmental models to assess the impact of various factors on the growth and yield of row crops, specifically soy and cotton.
• Utilize Python for data processing, analysis, and machine learning to extract actionable insights from complex datasets, including remote sensing data.
• Build and deploy machine learning models and data solutions on the AWS platform, ensuring scalability, reliability, and performance.
• Collaborate with agronomists, environmental scientists, and other stakeholders to integrate domain knowledge into modeling efforts and data solutions.
• Conduct research on environmental variables affecting crop performance, utilizing remote sensing data to enhance model accuracy and predictive capabilities.
• Present analytical findings and model outputs to technical and non-technical stakeholders through comprehensive reports and visualizations.
• Mentor and support junior data scientists in best practices for data analysis, machine learning, and environmental modeling.
• Stay updated on industry trends, technological advancements, and best practices in agricultural data science, environmental modeling, and remote sensing.

Certifications Required

Google Cloud Professional Certification

What are we offering?

Support in the development of your career, portal with several online courses in addition to the best market benefits such as: Pension Plan, Medical and Dental Plan, Meal voucher, Transportation voucher and Variable pay, among others. We are a company that values, take care of and cares about the health and well-being of its employees. In addition to the conventional benefits, we provide the Employee Assistance Program with confidential assistance available to help you and your family to find solutions to personal and professional challenges.

We encourage applicants who are people with disabilities to apply for a position of interest from among all of our available opportunities. Evaluate your profile and if there is no fit with the job opening, we will redirect your application.