Data Scientist II/Lead Data Scientist – Computer Vision

Job Description

Roles & Responsibilities :

– Work closely with Product Owners, Applied Data Scientists, MLOps teams, Geospatial Experts, Platform Engineers, and other cross-functional stakeholders to envision solutions for real-world, ambiguous business use cases requiring low latency and high throughput.

– Identify and solve customer problems through simple and elegant solutions while working backwards from customer and business requirements.

– Quickly propose, evaluate, and validate hypotheses to help direct product roadmaps and technical decisions.

– Drive experimentation, architecture design, model development, deployment, and productionization of ML pipelines.

– Write clean, scalable, production-grade code using Python and PyTorch.

– Conduct A/B experiments wherever applicable and define appropriate Data Science output metrics, calibrating them against desired business metrics and KPIs.

– Innovate on model architectures and techniques including Transformers, generative models, diffusion models, time-series models, self-supervised learning, multimodal fusion, and temporal modeling to advance in-house geospatial ML SOTA.

– Clearly communicate technical findings, recommendations, and outcomes verbally and in writing to stakeholders from varied technical and business backgrounds.

– Engage in and initiate collaborative efforts to meet ambitious applied research, product, and client-delivery goals while maintaining strong attention to detail.

– Innovate and advance State-of-the-Art in-house solutions and communicate findings through patents, technical documents, internal whitepapers, research papers, or other forms of intellectual property, wherever applicable to the business.

– Mentor junior team members, applied scientists, and interns as applicable.

– Assist Data Science Managers with effective project and resource management, hiring, agile execution, and timely delivery while demonstrating a strong sense of ownership and accountability.

Additional Responsibilities for Lead Data Scientist :

– Own technical charters and roadmaps for multiple ML / CV initiatives.

– Lead and mentor Applied Scientists while translating complex EO problems into actionable and scalable technical solutions.

– Provide technical leadership across hypothesis generation, experimentation, architecture selection, model development, production deployment, and monitoring.

– Contribute to hiring, technical excellence, engineering / scientific best practices, and capability development across the team.

– Effectively communicate technical direction and findings to leadership, customers, and cross-functional partners.

Education :

– M.Tech / MS (Research) / PhD in Computer Science, Electrical Engineering, Electronics & Communication, Remote Sensing, or related fields, preferably from leading academic institutes, industrial research labs, or organizations.

– Exceptional undergraduate candidates with strong research and / or relevant industry experience will also be considered.

Experience :

– 4+ years of applied Machine Learning / Computer Vision experience, preferably in an industry environment.

– Proven experience taking ML models from POC – Production – Monitoring.

– 2+ years of experience in a technical leadership role involving people and project leadership.

Must-Have Technical Expertise :

Candidates should demonstrate a proven track record of relevant experience in areas such as :

– Computer Vision

– Natural Language Processing

– Learning Theory

– Optimization

– ML + Systems

– Foundation Models

Candidates should be technically familiar with some or most of the following, demonstrated through their ability to solve problems in novel scenarios :

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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