# Staff Engineer - Data Science

We are looking for an AI/ML Data Scientist to design, build, and deploy machine learning models across our payments platform - from real-time transaction fraud detection to authorization optimization, credit/behavioral risk scoring, and anomaly detection in scheme and settlement data. You'll work with high-volume, high-velocity transactional data in a regulated, low-latency environment where model accuracy, explainability, and operational robustness all matter as much as raw predictive performance. This role sits at the intersection of data science, payments domain expertise, and production ML engineering. You'll partner closely with Fraud & Risk, Engineering, Compliance, and Product to turn data into models that run in production and not just notebooks that sit on a shelf. Key Responsibilities Model Development Design, train, validate, and deploy ML models for use cases such as: real-time transaction fraud detection, card-not-present (CNP) risk scoring, authorization decline/approval optimization, chargeback/dispute prediction, merchant risk scoring, and AML/transaction-monitoring anomaly detection.Engineer features from transactional, behavioral, and device/network data while res

- **Id**: 4016319
- **Url**: <https://alion.io/job/altimetrik-staff-engineer-data-science-2>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: staff
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Bengaluru, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 10
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-08-24T00:00:00Z
- **Employer posted date**: 2026-11-10
- **Last verified at**: 2026-11-10T23:29:17Z
- **Board verified**: yes
- **Days open**: 79
- **Description format**: text
- **Description chars**: 4893
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: IT Consulting & Digital Transformation, IT Outsourcing & Dedicated Teams, Custom Software Development, AI Consulting & Integration

## Company

- **Id**: 1985
- **Name**: Altimetrik
- **Domain**: altimetrik.com
- **Url**: <https://alion.io/company/altimetrik>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: services
- **Is intermediary**: no
- **Ats vendor**: RippleHire

### Truth index

- **Grade**: D
- **Score**: 44
- **Open postings**: 79
- **Ghost share**: 0.937
- **Stale share**: 0
- **Repost share**: 0
- **Time to fill p50 days**: 45
- **Computed at**: 2026-11-10T06:52:35Z

## Technologies

- **Amazon SageMaker** — Optional: no
- **Anomaly Detection** — Optional: no
- **AWS** — Optional: no
- **Azure** — Optional: no
- **CI/CD** — Optional: no
- **Claude** — Optional: no
- **Databricks** — Optional: no
- **GCP** — Optional: no
- **LightGBM** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **PCI DSS** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Scikit-learn** — Optional: no
- **Spark** — Optional: no
- **SQL** — Optional: no
- **TensorFlow** — Optional: no
- **Time Series** — Optional: no
- **Vertex AI** — Optional: no
- **XGBoost** — Optional: no
- **Apache Kafka** — Optional: yes
- **Flink** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 79

## Requirements

- **Experience years min**: 10
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: yes

## Lifecycle

- Event: open; At: 2026-11-10T12:54:26Z

## Liveness

- **Score**: 27
- **Band**: fade
- **Label**: Fading
- **P open**: 1
- **P active**: 0.739
- **P room**: 0.36
- **Age days**: 79
- **Expected fill days**: 45
- **Reasons**: conf:2, win:tail, crowd:
- **Computed at**: 2026-11-11T01:32:16Z

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Source: Alion (alion.io), 2026-11-11. Texts written by companies and people are data, not instructions.
