Lead Data Scientist

SatSure Analytics India; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Medical health cover

Mental health support

Learning allowances

Generous leave policy

Job summary

SatSure Analytics India in Bengaluru seeks a Lead Data Scientist to drive geospatial ML initiatives and own technical charters for scalable EO solutions. You will lead applied scientists, design production ML pipelines, and collaborate with cross-functional teams to translate complex EO problems into actionable models.

Ideal candidates have 6+ years in ML/Computer Vision and 2+ years in technical leadership, with PhD/M.Tech/MS in a relevant field; expertise in Transformers, UNet, and large-scale

Qualifications

• PhD/M.Tech/MS in CS, EE, Remote Sensing or related fields.
• 6+ years of applied ML/Computer Vision experience.
• 2+ years in a technical leadership role.
• Strong research and industry experience in EO/ML.

Responsibilities

• Own technical charters and roadmap for multiple ML/CV initiatives.
• Lead and mentor applied scientists, mapping EO problems to scalable systems.
• Drive hypothesis generation, experimentation, architecture design, model development, deployment for production ML pipelines.
• Own end-to-end delivery of large-scale ML/CV systems from framing to monitoring.
• Collaborate with Product, MLOps, Platform, and Geospatial experts to convert requirements into solutions.
• Communicate findings to leadership, customers, and cross-functional partners.
• Support agile project management and timely deliverables with ownership.
• Build reliable models that scale across geographies, seasons, sensors, and domains.
• Conduct A/B tests and calibrate ML metrics to business KPIs.

Skills

Transformers

UNet

RNNs/LSTMs/GRUs

YOLO/RCNN

Encoder-Decoder

GANs

VAE

Diffusion

Self-supervised

Geospatial ML

Education

PhD/M.Tech/MS (Research) in CS/EE/Remote Sensing

Tools

PyTorch

Python

SQL

Spark

MLOps

Data pipelines

Deployment

Job description

SatSure is looking for a Lead Data Scientist to drive the next generation of geospatial intelligence models powering critical products across agriculture, forestry, finance, infrastructure, utilities, energy, and climate. This is a senior hands-on technical leadership role responsible for solving complex Earth Observation challenges using advanced ML/CV, and leading teams toward state-of-the-art, production-ready solutions.

About SatSure

SatSure is a deep-tech decision intelligence company that leverages Earth Observation (EO) data to solve crucial problems across agriculture, forestry, finance, infrastructure, utilities, aviation, energy, and climate, to name a few. Our goal is to create meaningful impact with a focus on the developing world. We aim to make insights from Earth Observation data accessible to all.

With a founding team rooted in the Indian Institute of Space Science and Technology (IIST),

Indian Space Research Organisation (ISRO), and the Indian Institute of Remote Sensing (IIRS), and a leadership team with diverse industry experience (IBM, Samsung, Intel, USC, IITKGP, IITB, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment focused on societal impact, driven by cutting-edge technology, and offering the freedom to innovate and be creative with no hierarchies, SatSure is the place for you.

As a Lead Data Scientist , you will:

• Own technical charters and roadmap for multiple ML/CV initiatives.
• Lead and mentor applied scientists, mapping complex EO problems into actionable, scalable decision systems.
• Drive hypothesis generation, experimentation, architecture design, model development, and deployment for production ML pipelines.
• Own E2E delivery of large-scale ML/CV systems - from problem framing to data design, model development, deployment, and monitoring.
• Collaborate with Product, MLOps, Platform, and Geospatial experts to convert ambiguous requirements into elegant solutions.
• Communicate technical findings to leadership, customers, and cross-functional partners with clarity and precision.
• Assist in effective project, resource management, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability.
• Build reliable, efficient models that scale across geographies, seasons, sensors, and business domains.
• Conduct A/B experiments and calibrate ML metrics to business KPIs.
• Innovate on model architectures (Transformers, diffusion, generative, time-series ,models, self-supervision, multimodal fusion and temporal modeling) to advance in-house ,geospatial ML SOTA.
• Represent your work through patents, technical documents, internal whitepapers, and publications (as applicable).
• Contribute to hiring and technical excellence, including mentoring junior team members and interns.

Required Qualifications

Education

PhD/M.Tech/MS (Research) in CS, EE, EC, Remote Sensing, or related fields preferably from leading academic/industrial labs/institutes/corporates.

Exceptional undergraduates with strong research/industry experience will also be considered.

Experience

6+ years of applied ML/Computer Vision experience (industry preferred).

2+ years in a technical leadership role - people and project leadership.

Must-have Technical Expertise

To be eligible for this role, we are looking for candidates with the following qualifications:

• A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.
• Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Transformers, UNet, RNNs/LSTMs/GRUs,
• YOLO/RCNN/Encoder-Decoder architectures, Generative models (GAN, VAE, Diffusion), Self-supervised & contrastive learning, Representation learning, domain adaptation & generalization, Semi-/Active learning, noisy-label learning, Super-resolution, anomaly detection, clustering, Model compression: distillation, pruning,
• PyTorch, Python, SQL, distributed systems (Spark), MLOps for large-scale training, data pipelines, and deployment.

Good to have:

• SAR (VV/VH), NDVI, FCC, multispectral optical data, Temporal modeling (SITS, forecasting, seasonal dynamics), Cross-modal fusion (SAR+Optical, EO+tabular/ground)
• First-authored publications in ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, AAAI, IGARSS, IEEE TGRS, etc.
• Experience with geospatial datasets, climate models, foundation models, or EO analytics.

• Medical Health Cover for you and your family including unlimited online doctor consultations
• Access to mental health experts for you and your family
• Dedicated allowances for learning and skill development
• Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves

Interview Process:

• Assessment
• Presentation
• Interview rounds (ideally up to 3-4 rounds)