Senior Data Scientist

Company Description

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.
Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold.
Syngenta Crop Protection is headquartered in Switzerland.

Job Description

Role Purpose

• We are seeking a highly skilled Senior Data Scientist to join our dynamic team. This role involves tackling complex data challenges, developing predictive models, and extracting valuable insights to inform strategic decisions to Crop Protection Development (CPD) and related divisions.
• The ideal candidate will have a strong background in data science, with proven experience in machine learning, statistical analysis, and big data technologies. The senior data scientist will lead projects from conception to deployment, mentor junior data scientists, and collaborate with cross-functional teams to drive innovation and improve our data-driven decision-making processes and will contribute to the development and enhancement of customer (farmer/grower) centric mobile application.

Accountabilities

With a focus on the Digital and Data Science critical initiatives for Crop Protection development (CPD) in India:

• Develop and implement advanced statistical and machine learning models to solve complex problems. Collaborate with data engineering team to seamlessly transition ML/AI innovations into scalable and reliable operational solutions.
• Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring end-to-end solutions
• Manage data science projects, ensuring they meet business requirements and are delivered on time
• Mentor junior data scientists, providing guidance and support in their professional development
• Collaborate with cross-functional teams including indication teams in CPD, marketing, and commercial teams to understand business challenges and objectives, translating complex data into actionable insights. Maintain and develop cutting-edge features for existing mobile apps. Ensure the performance, quality, and responsiveness of applications.
• Develop solutions for NLP involving LLM. Implement models for natural language understanding, conversation, and summarisation. Fine-tune pre-trained language models for domain specific generative AI applications. Streamline Generative AI model development and deployment using cloud infrastructure and capabilities. Evaluate model performance using quantitative and qualitative metrics. Iterate and improve models based on feedback and analysis of results.
• Data analysis and E2E data workflow, including data quality management and BITS
• Stay abreast of industry trends and advancements in data science and machine learning, continuously improving our methodologies and technologies
• Partner with AMEA and Global Technical Excellence and Quantitative Biology team for development, testing, and implementation of new methodologies and applications in data projects.
• Use BITS and other tools and systems to provide information to CPD team in the form of data searches, queries, summaries, visualizations, analyses, and reports.
• Develop clear and concise communications and presentations to business partners.
• Document research findings, methodologies, and model architectures. Prepare technical reports and presentations to communicate results and insights to both technical and non-technical stakeholders.

Qualifications

Knowledge, Experience & Capabilities

Critical knowledge

• A minimum of 6 years of full-time work experience as a data scientist
• A postgraduate/graduate degree in Computer Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field,
• Excellent programming skills in languages such as Python
• Experience with big data technologies and data analysis software like R or MATLAB
• Exposure to natural language processing, image processing techniques, and big data stacks
• Experience working on AWS or Google cloud
• Familiarity with SQL databases, enterprise search technologies, and recommendation systems
• Strong communication skills and the ability to work collaboratively across teams
• At least 4 years of experience working in data science or related discipline in the agrochemical industry      

Critical experience

• Good understanding of agriculture, field trials, crop protection, farmer focused applications and its elements in India
• Good data science project management skills.
• Strategic thinking, ability to understand customer needs, business potential in India
• Focused on customers and is dedicated to meet the expectations and requirements of internal and external customers
• Broad understanding of digital tools and data analytics software.
• Strong communication skills to guide and influence stakeholders / organization to drive digital transformation
• Collaborative, inclusive and cross functional attitude.
• Comfortable working in a matrix organization.
• Proven track-record of delivering data science solutions in agrochemical industry

Critical technical, professional, and personal capabilities

• Good interpersonal skills
• Excellent communication skills. Highly fluent in English.
• Capability to drive and enthusiasm in product development.
• Ability to motivate and lead others.
• Ability to accept challenges and achieve results under pressure.
• High level written, oral communication and presentation skills.
• Good computer skills (including word processing, presentation preparation).
• High level of integrity.
• High level of self-motivation.

Critical leadership capabilities

• Passion and enthusiasm for data science and its applications for agriculture.
• Upskilling self and others
• Mentoring Junior Data Scientists
• Open minded, builds a culture of innovation – creates an environment that inspires and supports creativity.
• Proactive communication and alignment with stakeholders.
• Strategic thinking with the ability to focus to deliver on what matters.
• Manages for performance – skillfully plans, organizes and monitors performance to create value and achieve excellence in delivery.
• Focused on customers and is dedicated to meeting the expectations and requirements of customers.

Additional Information

Additional Information:

People are at the heart of what we do:

• Once a year Full body check
• Competitive insurance scheme
• Employee assistance program – to take care of your and your loved ones mental health
• Paid Vacation of 30days, 12 Paid Holidays, Maternity and Paternity Leave, compassionate leaves
• Education assistance – for your career growth
• People first culture translated into ‘Most Preferred place to work 2022-23 by Times group’

Note: 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, gender identity, marital or veteran status, disability, or any other legally protected status.

To learn more visit: www.syngenta.com and www.good-growth-plan

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