Data Scientist , Sidewalk

Amazon is hiring a Data Scientist , Sidewalk in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
The posting mentions Python, AWS and SQL among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and deploy machine learning models, geospatial analytics, and generative AI solutions to optimize Amazon Sidewalk's IoT network.

PythonAWSSQLGenerative AILLMs

machine-learninggeospatial-modelinganomaly-detectiondata-scienceiot

Are you passionate about building the world's largest low-power, long-range IoT network? Do you want to use data science to expand connectivity for billions of devices and directly shape how Amazon Sidewalk grows its coverage footprint?

If turning IoT telemetry into actionable insights excites you, we want to talk.

The Amazon Sidewalk team is looking for an analytical and technically skilled Data Scientist to join our team. In this role, you will design, build, and deploy machine learning models and analytical solutions that power Sidewalk's coverage map, optimize network performance, and drive insights from one of the largest mesh IoT networks in the world.

Amazon Sidewalk is a shared network that helps devices like Ring, Echo, and third-party IoT endpoints work better at home and beyond the front door. Sidewalk uses Bluetooth Low Energy (BLE), 900 MHz LoRa, and FSK radio protocols to extend the working range of low-bandwidth devices through a network of millions of Sidewalk-enabled gateways. This role puts you at the center of understanding and expanding that network.

This role offers wide scope, autonomy, and ownership. You will work closely with software engineers, data engineers, and product managers to put algorithms into practice. You should have strong business judgment, excellent written and verbal communication skills, and be willing to take on challenging initiatives both independently and as part of a team.

Key job responsibilities
- Build and improve Sidewalk's coverage forecast models that predict network availability across BLE, LoRa, and FSK link types for any geographic location.

- Analyze gateway telemetry, device event data, and registration statistics from the Sidewalk Data Lakehouse to identify coverage gaps, network health trends, and device behavior patterns.

- Develop geospatial models that leverage gateway location data, signal propagation characteristics, and device density to optimize coverage map accuracy.

- Design anomaly detection systems to identify gateway outages, data limit issues, key refresh failures, and device provisioning problems at scale.

- Research and develop Generative AI and LLM-based solutions for automated device troubleshooting and root cause analysis across the Sidewalk network.

- Define and track key network health metrics including coverage scores, gateway online rates, device registration success rates, and data usage patterns.

- Drive end-to-end statistical analysis on complex, ambiguous problems such as predicting optimal gateway placement, modeling RF propagation in urban vs. suburban environments, and forecasting network growth.

- Partner with engineering teams to productionize models into Sidewalk's cloud services, ensuring coverage predictions and device analytics are available in real time.

About the team
The Amazon Sidewalk team builds and operates a crowd-sourced IoT network, connecting millions of gateways (Ring, Echo, and third-party devices) to provide low-bandwidth connectivity for IoT endpoints. Our platform handles device provisioning,
authentication, data routing across BLE/LoRa/FSK protocols, coverage forecasting, and gateway management. The network supports use cases ranging from smart home device connectivity to asset tracking and pet location services. Our data infrastructure processes hundreds of millions of device events daily serving insights to engineering, product, and partner teams.

Basic qualifications

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- Experience applying theoretical models in an applied environment

Preferred qualifications

- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Data Scientist , Sidewalk at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist , Sidewalk is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on May 1, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningGeospatial ModelingAnomaly DetectionData ScienceIotPythonAWSSQL

Also common in data scientist jobs at this level

AWS Spark PyTorch Deep learning NLP RAG

Pay

Typical data scientist job: $168k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where geospatial modeling was part of your work. What did you do?
Tell me about a project where anomaly detection was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where iot was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Geospatial Modeling, Anomaly Detection, Data Science, and Iot. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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