US Sales

Ideal Candidate

8+ years of experience in front-end development, with at least 3–5 years in technical/architectural leadership roles across web and mobile platforms.

Expert in React.js and React Native, with hands-on experience designing and building scalable, modular applications using modern front-end frameworks and reusable component libraries.

Strong geospatial capabilities—proven experience integrating and optimizing mapping solutions (e.g., Google Maps, HERE Maps) with features like routing, clustering, and overlays.

Mobile-first mindset, with deep knowledge of responsive UI design, performance optimization for low-bandwidth environments, and cross-platform compatibility.

Architectural expertise in modular design, micro-frontends, SSR/SSG, PWAs, and cross-platform solutions—ideally with experience in monorepo environments and BFF patterns.

Technical leadership skills, including mentoring developers, enforcing best practices, driving autonomous development, and aligning technical solutions with business needs.

CI/CD & DevOps familiarity—strong understanding of build tools (Webpack, Vite, Metro), containerization (Docker), and deployment automation using Jenkins, GitLab CI, etc.

Security, accessibility, and testing focus—capable of implementing WCAG-compliant UIs, secure data handling, and robust test strategies using tools like Jest, Cypress, Detox, and Appium

Strong Product Designer profile with Top / well-funded B2B SaaS products

Mandatory (Experience 1): Must have 3+ YOE in hands-on Product Design works for B2B SaaS Products

Mandatory (Experience 2): Must have end-to-end designing experience - starting from UX Research / Design to workflows, wireframing, and final UI designs

Mandatory (Portfolio): Must have detailed case studies of Product Design works for good B2B SaaS products

Mandatory (Company): Well-Funded / Global B2B SaaS Products

We are seeking a highly motivated and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will be responsible for extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategy and improve operational efficiency. You will play a crucial role in transforming raw data into meaningful information, enabling stakeholders to make informed decisions.

Responsibilities:

• Data Extraction and Manipulation:
• Extract data from various sources (databases, APIs, cloud platforms, etc.) using SQL, Python, or other relevant tools.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Conduct in-depth statistical analysis to identify trends, patterns, and anomalies.
• Develop and implement predictive models and algorithms to forecast future outcomes.
• Create insightful visualizations and dashboards using tools like Tableau, Power BI, or Looker to communicate findings effectively.
• Perform A/B Testing, and other experimental design analysis.
• Reporting and Communication:
• Prepare and present comprehensive reports and presentations to stakeholders at all levels.
• Translate complex data findings into clear and concise recommendations.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

Qualification, Experience & Critical Capabilities

• Graduation in Engineering (Preferred Computer Science)/ Post Graduation with 8 years (+) hands on experience working in SAP MDM / MDG.
• Experience in writing User Story/Business Requirement Specification, USDD (User Story Design Document)/Functional/Technical Specifications and understand Devops, Agile methodology/framework.
• Act as a partner to the Business for Business Process Query Incidents, Small Change (Projects), Problem Management and define right solution from Design and Cost perspective by aligning with Chief Architect Group (CAG) as and when needed.
• Coordinates with business users and other IT departments to design, develop, implement, enhance and maintain complex solutions.
• Be able to support and challenge the Partners (Vendors) on quotation of Change efforts, Fulfill the role of a SME (subject matter expert), Oversee and support the development of the solution, Validate the functionality as per business needs, support testing (IST & UAT) and User training.
• Experience in collaboration with different domains (functions) within Syngenta and third-party Partners (Vendors).

Relevant Experience

• 8 years (+) experience working as SAP MDM / MDG Functional Analyst.
• Should have worked on implementation of MDM.
• Good to have: Exposure to migration of SAP MDM to MDG.

MDM:

• Experience in MDM configuration.
• Experience in Integrating business process requirements with the technical implementation of SAP Master Data Management / Governance.
• Set up Validation (Business) rules, Workflow process, Import/Syndication Maps.
• Setup and use of MDM Transport Management.
• Design understanding of material / products master repository architecture.
• Experience working on SAP MDM Production Support and New Enhancements.
• Knowledge of handling MDM integration with different systems. Ex MDM <> ECC, SFDC etc.
• Understanding the Business problem and the different Master data used in the Organization (say if its Material Master/Customer/Vendor/Finance Master data etc.).
• Develops and implements strategies to translate business requirements and models into feasible and acceptable designs to ensure that business needs are met.
• Once the understanding phase is done Functional Analyst will have to work with vendor to provide a Solution through SAP MDM and then design and Implement the solution end to end.
• Strong hands on experience in MDM Console, Data Manager, Import Manager, Syndicator, Workflow, Data modeling, Standardization, Cleansing and SAP ECC.
• Consultant should try to wider there view for all the different platforms that are used with MDM such as Netweaver , XI, ABAP etc.
• Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

MDG:

• Configuration exposure with MDG product / material data objects.
• Experience in UI modelling (Design and Creation of UI, Value restriction and Derivation rules).
• Understanding and familiarity with MDG application framework and various governance API's.
• Able to perform MDG configurations and customizations in areas like data modeling, process modeling, key mapping, duplicate checks, validations, replication and MDG error handling.
• Knowledge in activation and configuration of the MDG modules & components.
• Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF) via ALE / IDOC, key and value mapping.
• Able to perform MDG Configurations and Customizations in areas like Data Modeling, Process Modeling, Key Mapping, Duplicate checks, validations and MDG error handling experience.

General Experience and Prerequisites 

• Excellent written and verbal communication around issues, managing escalations.
• Experience in client facing and managing outsourced partners.
• A Team player with a collaborative attitude, proactive and ability to work under pressure.
• Good understanding of agile ways of working (DevOps model), knowledge on ITIL processes.
• Knowledge of Lean/ 6 Sigma, Design Thinking, Agile methodology.
• Certification in SAP MDM / MDG preferred.

We are looking for a Sr. React Native Developer to help design and develop a new mobile application.

Roles and Responsibilities
1. Developing high-quality JavaScript code for the application.
2. Working closely with design and technology teams to gather requirements and formulate solutions.
3. Coordinating with back-end team to establish JSON-based APIs.
4. Deploying and managing application on Google Play Store & App Store.
5. Optimizing application for maximum speed, performance, and compatibility.
6. Making recommendations to address UI/UX issues.
7. Providing assistance to QA to ensure the app is properly tested and QAd.

Desired Candidate Profile
1. Bachelor's Degree or higher in Computer Science or related field.
2. Strong experience working with React Native on production apps, with knowledge of existing standards and best practices.
3. Strong experience in JavaScript, and Redux.
4. Experience with version control tools (GIT).
5. Experience with responsive design/implementation.
6. Familiarity with REST APIs.
7. Experience with common front-end development tools such as Babel, Web pack, NPM, etc.

Bonus

Knowledge in any or all of any or all of Swift, Objective-C, Java, and Kotlin is a big plus.