Senior Data Scientist (f/m/d)

<h1><span style="font-size:14px;"><span style="color:rgb(155, 187, 89);"><strong><span style="color:rgb(118, 146, 60);">Company Overview</span></strong></span></span></h1><p>Plantix is India’s leading digital ecosystem connecting farmers, local retailers and agri-input producers. It is the world’s most downloaded app for farmers - combining artificial intelligence and the expertise of leading research institutions around the globe. Millions of customers use the Plantix Crop Doctor to diagnose crop problems, get recommendations about treatments and the best suited products at their local store.<br></p><p>For the first time in their farming life, many are now able to obtain an accurate diagnosis and the right treatment. On top of this, we provide detailed advice on how to avoid crop loss and to minimize pesticide and fertilizer use. With Plantix, we are able to make a meaningful impact in farmers’ lives.<br></p><p><br></p><p><strong><span style="color:rgb(155, 187, 89);"><span style="color:rgb(118, 146, 60);">About the role</span></span></strong></p><p>We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team!<br>Data is at the core of Plantix's business. We base decisions and actions on insights generated by data. As a Senior Data Scientist, you will leverage your expertise in data analysis and machine learning to develop impactful data products, including disease outbreak alerts, market intelligence tools and disease forecast models. Working with a small, dedicated team, you will balance strategic guidance with hands-on coding, driving the assessment, building and iteration of crucial data solutions that make a significant difference. This is the case of developing new concepts and models from 0 to 1. Your role will also involve mentoring team members while actively contributing to the technical development of these products.</p><p><br></p><p><strong><span style="color:rgb(155, 187, 89);"><span style="color:rgb(118, 146, 60);">Responsibilities</span></span></strong></p><ul><li><span style="color:rgb(155, 187, 89);"><span style="color:rgb(0, 0, 0);">Translate complex problem statements into actionable technical solutions, considering feasibility, available resources and timelines</span></span></li><li><span style="color:rgb(155, 187, 89);"><span style="color:rgb(0, 0, 0);">Lead the complete lifecycle of designing, developing and deploying scalable machine learning solutions to deliver impactful data products</span></span></li><li>Provide mentorship and guidance to a team of analysts and geospatial engineers, ensuring project milestones are achieved and high-quality standards are maintained</li><li><span style="color:rgb(155, 187, 89);"><span style="color:rgb(0, 0, 0);">Actively engage in coding and technical development, contributing directly to the creation and refinement of data products</span></span></li><li><span style="color:rgb(155, 187, 89);"><span style="color:rgb(0, 0, 0);">Partner with Software Engineers, Data Engineers and DevOps teams to ensure system compatibility and operational efficiency</span></span></li><li><span style="color:rgb(155, 187, 89);"><span style="color:rgb(0, 0, 0);">Act as the primary technical point of contact for project execution, overseeing planning, deployment and monitoring processes</span></span></li></ul><p><span style="color:rgb(118, 146, 60);"><strong><br></strong></span></p><p><span style="color:rgb(118, 146, 60);"><strong>Wh</strong><strong>at we offer:</strong></span></p><ul><li>Great Compensation package</li><li>Flexibile Working Arrangements</li><li>Fully Remote Work</li><li><p>Great learning and growth opportunities</p></li><li><p>Chance to make a significant impact on the organization's data-driven initiatives</p></li></ul><ul><li>Min 5 years of experience as an ML Engineer, Data Scientist , Geospatial Engineer or similar role</li><li>Min 5 years of experience writing software at scale in Python</li><li>Min 3 years in Cloud Platforms (AWS, Google Cloud)</li><li>Strong ability to apply statistical concepts and solve data-driven problems</li><li>Experience in geospatial and time series analysis</li><li>Capability to design scalable systems and infrastructure</li><li>Experience in putting ML models into production</li><li>Excellent organizational and project management skills</li><li>Ability to manage workloads and competing priorities</li><li><strong>Nice to have:</strong> Knowledge of remote sensing, agronomy, epidemiology</li></ul>