PUNE · FULLTIME
Data Scientist
Syngenta
Pune · onsite · Posted 13d ago
Sourced from
Undisclosed3–5 yrsfulltimePune
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Section · 01
About this role
Job Description
Position Summary:
- Lead DS and ML predictive analytics solutions, owning technical strategy and delivery for data science projects of varying complexity.
- Serve as technical lead for data science squads - driving architecture decisions, code quality standards, and delivery excellence across the team.
- Bridge business and technical teams by translating complex analytical findings into clear, actionable insights that influence strategic decisions.
- Foster a culture of continuous learning by mentoring data scientists, promoting best practices in MLOps, and championing innovation in analytical methods
Accountabilities:
Model Development Analytics Leadership
- Build and deploy predictive models and analytics capabilities, leading technical workstreams independently
- Perform advanced data analysis and EDA to develop fact-based insights and strategic recommendations
- Lead integration of traditional and nontraditional data sources into production analytical workflows
- Drive integration of structured and unstructured data sources into robust, scalable analytical pipelines.
Platform and MLOps
- Architect and maintain ML infrastructure using cloud platforms (Databricks, AWS, Azure) and orchestration tools.
- Implement CI/CD practices for model deployment, versioning, and automated retraining pipelines.
- Establish model monitoring, drift detection, and performance tracking frameworks in production.
- Promote reusable components, shared libraries, and standardised development environments across the team.
Leadership Stakeholder Management
- Act as technical point of contact for stakeholders - translating business problems into clear data science problem statements.
- Lead cross-functional working groups with business owners, data engineers, and domain experts.
- Mentor and develop junior and mid-level data scientists through code reviews, knowledge sessions, and project coaching.
- Facilitate agile ceremonies (sprint planning, retrospectives, technical demos) and hold the team accountable to delivery commitments.
Strategic Contribution
- Identify and prioritise high-impact AI/ML opportunities across Commercial domains (Marketing, Sales, Pricing).
- Build and share domain expertise, contributing to the development of team capability roadmaps.
- Influence tooling and platform strategy decisions based on emerging best practices and business requirements.
- Drive measurable business outcomes - framing model outputs in terms of ROI, efficiency gains, or revenue impact. Qualifications
- Bachelors degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field (Masters preferred)
- 3-5 years professional experience delivering production data science solutions
- Proven track record leading analytical projects with measurable business impact
- Advanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy)
- Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
- Experience with ML frameworks, version control (Git), and CI/CD for model deployment
- Demonstrated leadership through mentoring, technical presentations, or cross-functional project ownership
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Agilecloud platformscode qualityMLOpsmathematicsamazon web servicesBusiness Requirementsdata scientistAnalyticsEvent DrivenCloud DatadeploymentDatabrickscloudArchitecturedata analysisMicrosoft AzuremarketingGITData ScienceArtificial IntelligenceMachine Learning
Section · Company
About Syngenta
Syngenta
Agriculture
1.8k+
employees
2000
26 years old
New Delhi, Delhi
India
₹7.3L PA avg
Avg at Syngenta
About
Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources.
Industries
Agriculture
Employee ratings
10 reviews
4.1/ 5
Culture
4.3
Career growth
3.5
Work-life
4.5
Employees rate it well for
Work-Life Balance41Overall Company41
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