Karnataka Applied scientist Jobs – 298 Open Jobs Today

Applied Scientist, Traffic Quality
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
Lead Applied Scientist
Tekion —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Master's degree
- Health insurance
2d
Applied Scientist II, HST Health Evaluation
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
- Health insurance
Senior Applied Scientist, HST Health Evaluation
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Java
- C++
- Machine learning
- Health insurance
Applied Scientist II, Amazon Travel & Events
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
Applied Scientist II, Seller Fee Science
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Sr. Applied Scientist, Seller Fee Science
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
Computational Scientist
ExxonMobil —Bengaluru, Karnataka
- Doctoral degree
- DevOps
- Master's degree
Senior Applied Scientist, FinAuto
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
2d
Applied Scientist II, Alexa AI
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist, Alexa Edge AI
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
8d
Sr. Applied Scientist, SSG Science
Amazon Development Centre (India) Private Limited —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
Applied Scientist, Trust CX Innovations&AI Policy
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
Scientist I
Thermo Fisher Scientific —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Research
8d
Applied Scientist II, Trustworthy Shopping Experience (TSE)
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist, MAPLE - Recommender System
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Applied Scientist
Microsoft —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Applied Scientist II, Vertical Search Relevance
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
2d
Sr. Applied Scientist, Last Mile Science
Amazon Dev Center India - Hyderabad —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Data Scientist
Zimmer Biomet —Bengaluru, Karnataka
- Full-time
- Master's degree
- Databases
- Machine learning

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Applied Scientist, Traffic Quality

ADCI - Karnataka -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Data mining
Doctoral degree
Data analysis skills
.NET
Master's degree
AWS
Machine learning
Distributed systems
Predictive analytics
S3
Fraud prevention and detection
Redshift
AI

Full job description

DESCRIPTION

Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces.

Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience.

Key job responsibilities
As an Applied Scientist II in Traffic Quality, you will solve inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning, and advanced clustering. You'll work on systems that process billions of ad impressions and clicks per day, using Amazon's cloud services including EC2, S3, EMR, Sagemaker, and RedShift.

Define and frame new research problems in fraud detection where neither problem nor solution is well-defined.
Invent and adapt new machine learning approaches, models, and algorithms to detect sophisticated invalid traffic.
Design and deploy production-quality ML components that directly impact advertiser trust and the business top-line.
Apply domain knowledge to perform broad data analysis as a precursor to modeling and build business insights.
Work with unstructured and massive datasets to deliver results.
Produce research reports meeting top-tier external publication standards.
Contribute to the scientific community through publications at peer-reviewed venues and reviewing research submissions.
Mentor and develop junior scientists on the team.

About the team
Here are a few papers published by the team:
1/ [Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD 2023.](https://assets.amazon.science/b7/42/03be071743d5a57cb1656e6caa34/scaling-generative-pre-training-for-user-ad-activity-sequences.pdf)
2/ [SLIDR: Real-time Robot Detection On Online Ads, IAAI 2023, Deployed Highly Innovative Applications of AI Track (AAAI 2023)](https://assets.amazon.science/75/2f/3b7106b143f38f7f4d2806388ace/real-time-detection-of-robotic-traffic-in-online-advertising.pdf)
3/ [Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers, NeurIPS 2022, First Table Representation Learning Workshop](https://openreview.net/forum?id=wIIJlmr1Dsk)

BASIC QUALIFICATIONS

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in solving business problems through machine learning, data mining and statistical algorithms
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

2+ years of hands-on predictive modeling and large data analysis experience
2+ years of designing experiments and statistical analysis of results experience

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.

Apply Now

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applied scientist jobs in karnataka

Applied Scientist, Traffic Quality

Lead Applied Scientist

Applied Scientist II, HST Health Evaluation

Senior Applied Scientist, HST Health Evaluation

Applied Scientist II, Amazon Travel & Events

Applied Scientist II, Seller Fee Science

Sr. Applied Scientist, Seller Fee Science

Computational Scientist

Senior Applied Scientist, FinAuto

Applied Scientist II, Alexa AI

Applied Scientist, Alexa Edge AI

Sr. Applied Scientist, SSG Science

Applied Scientist, Trust CX Innovations&AI Policy

Scientist I

Applied Scientist II, Trustworthy Shopping Experience (TSE)

Applied Scientist, MAPLE - Recommender System

Senior Applied Scientist

Applied Scientist II, Vertical Search Relevance

Sr. Applied Scientist, Last Mile Science

Data Scientist

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