1.508 Empregos para Estágio-Data Science Ne - Brasil

Data Analytics and Predictive Science Lead role in São Paulo/SP. Build and lead the Brazilian Data Analytics & Predictive Science team as part of Digital Crop Protection Development to support data-driven product development. Drive data science needs in Crop Protection Development in the areas of statistics, advanced data analytics and predictive modelling across product lines. Contribute to the strategic developments in Product Biology with a focus on Digital across different product lines and in close collaboration with regional counterparts. Influence data strategy at Syngenta and ensure diverse internal and external data sources are connected and integrated to support analysis and modelling.

Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta develops technologies and farming practices that empower farmers to feed the world’s population while preserving the planet. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States.

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers’ success. To support this mission, Syngenta’s Digital and Data Science Team is seeking a Data Analytics and Predictive Science Lead in São Paulo/SP. This role will be responsible to build and lead the Brazilian Data Analytics & Predictive Science team as part of Digital Crop Protection Development to support successful data driven product development. Drive the data science needs in Crop Protection Development on the areas of statistics, advanced data analytics and predictive modelling in the different product lines. Contribute to the strategic developments in Product Biology with a focus on Digital across different product lines and in close collaboration with regional counterparts. Influence data strategy at Syngenta and ensure diverse internal and external data sources are effectively connected and integrated to support analysis and modelling.

• Works in multidisciplinary project teams to bring data analytics and modelling skills to development and optimization of crop protection product candidates.
• In collaboration with the Digital Global Product Biology team and Regional counterparts, champion the Digital Transformation initiatives by driving collaboration efforts on connection points with different parts of R&D and Digital.
• In collaboration with the Product Biology community and the BITS platform product owners, identify opportunities for standardized improvements on protocol and experimental design, data quality and reporting. Co-develop and enable more effective trialing process.
• Interacts with product biology managers and other domain experts to understand scientific problems and identify opportunities where the adoption of models will drive value for the business.
• Works with colleagues in adjacent fields of data analytics and predictive science to investigate interdisciplinary and multiscale modelling approaches to solve fundamental challenges in active ingredient development for crop protection.
• Provides expertise and guidance to scientists in the design of experiments and field trials for modelling purposes.
• Drives strategic business initiatives across Crop Protection R&D, e.g., working with physical chemistry, biokinetic and environmental data to model field trials.
• Merges data from multiple data sources together to prepare them for analysis.
• Monitors new developments in the field and maintains awareness of modelling approaches taken by other companies, vendors, and academia. Explores new analytical tools, methodologies or approaches to understand their effectiveness and how to deploy them.

• Strong academic foundation in statistics and predictive modelling to postgraduate level or natural science PhD;
• Knowledge of relevant data-science, analytics and modelling tooling (e.g. Python, R, Matlab, etc.);
• Scientific domain knowledge in relevant field such as agronomy, biology, chemistry, etc to be able to effectively work with crop protection scientists;
• Knowledge of model validation, assessing robustness and machine learning techniques applied to biological sciences;
• Experience in developing models relevant to biological or crop protection outcomes (e.g. epidemiology, pest or disease modelling);
• Experience in analysing and extracting insights and new understanding from data;
• Experience in working independently and to a high level of accuracy;
• Experience of collaborating with scientists and data scientists to solve complex problems;
• Experience of communicating scientific and data concepts to specialist and non-specialist audiences.

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Research
• Industries: Chemical Manufacturing

Company Description

About Syngenta

Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities , Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn , Instagram & X .

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Digital and Data Science Team is seeking a Data Analytics and Predictive Science Lead in São Paulo/SP. This role will be responsible to build and lead the Brazilian Data Analytics & Predictive Science team as part of Digital Crop Protection Development to support successful data driven product development. Drive the data science needs in Crop Protection Development on the areas of statistics, advanced data analytics and predictive modelling in the different product lines. Contribute to the strategic developments in Product Biology with a focus on Digital across different product lines and in close collaboration with regional counterparts. Influence data strategy at Syngenta and ensure diverse internal and external data sources are effectively connected and integrated to support analysis and modelling.

Accountabilities:

• Works in multidisciplinary project teams to bring data analytics and modelling skills to development and optimization of crop protection product candidates.
• In collaboration with the Digital Global Product Biology team and Regional counterparts, champion the Digital Transformation initiatives by driving collaboration efforts on connection points with different parts of R&D and Digital.
• In collaboration with the Product Biology community and the BITS platform product owners, identify opportunities for standardized improvements on protocol and experimental design, data quality and reporting. Co-develop and enable more effective trialing process.
• Interacts with product biology managers and other domain experts to understand scientific problems and identify opportunities where the adoption of models will drive value for the business.
• Works with colleagues in adjacent fields of data analytics and predictive science to investigate interdisciplinary and multiscale modelling approaches to solve fundamental challenges in active ingredient development for crop protection
• Provides expertise and guidance to scientists in the design of experiments and field trials for modelling purposes
• Drives strategic business initiatives across Crop Protection R&D e.g. working with physical chemistry, biokinetic and environmental data to model field trials.
• Merges data from multiple data sources together to prepare them for analysis
• Monitors new developments in the field and maintains awareness of modelling approaches taken by other companies, vendors, and academia. Explores new analytical tools, methodologies or approaches to understand their effectiveness and how to deploy them

Required

• Strong academic foundation in statistics and predictive modelling to postgraduate level or natural science PhD;
• Knowledge of relevant data-science, analytics and modelling tooling (e.g. Python, R, Matlab, etc.);
• Scientific domain knowledge in relevant field such as agronomy, biology, chemistry, etc to be able to effectively work with crop protection scientists;
• Knowledge of model validation, assessing robustness and machine learning techniques applied to biological sciences;
• Experience in developing models relevant to biological or crop protection outcomes (e.g. epidemiology, pest or disease modelling);
• Experience in analysing and extracting insights and new understanding from data;
• Experience in working independently and to a high level of accuracy;
• Experience of collaborating with scientists and data scientists to solve complex problems;
• Experience of communicating scientific and data concepts to specialist and non-specialist audiences.

What We Offer:

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.

• Full Benefit Package (Medical, Dental & Vision) that starts your first day.

• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

About Us

Keeta, the international subsidiary of Meituan—the global delivery giant—is on a mission to revolutionize food and consumer product delivery worldwide. With our core belief: "We help people eat better, live better," we're taking innovation to the global stage!

Job Responsibilities:

1. Responsible for sales of the whole process of data monitoring, analysis, insight into business growth points, and can timely locate and early warning of business problems and risk points, to provide strategic direction and improve the proposal; construction of data reports, to promote the construction of business data products, to enhance the operational efficiency of the sales and operations team;

2. Focus on special analysis: based on analysis results derived from data, collaborate with internal and external resources to promote key projects and drive sales. Continuously review and iterate to improve the results.

3. In-depth understanding of the sales business, continue to follow up on business actions, establish a multi-dimensional business strategy diagnosis system, discover and locate the current business problems, and provide support for business decision-making.

What You'll Do:

1. Two or more years of relevant experience in business analysis and sales data analysis. Experience in a head internet analyst position is preferred.

2. Excellent logical thinking ability, able to perform structured analysis and dismantling of the problem, with the ability and habit of independent thinking and discernment;

3. Good command of commonly used data analysis tools, with solid basic skills in mathematical statistics;

4. Excellent communication and collaboration skills.

What Make This Role Exciting:

1. A startup team with plenty of opportunities to participate in core projects for rapid growth.

2. Experiencing different countries, languages, and cultures.