Immediate Need !! : ML/DQ Scientist || Remote

Immediate Need !! : ML/DQ Scientist || Remote

Posted 1 day ago by Srinav Inc.

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Negotiable
Undetermined
Remote
Remote
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Anomaly Detection Data Integrity Data Quality Data Science Machine Learning Pattern Recognition Pyspark Python (Programming Language)

Summary: The role of ML/DQ Scientist involves leveraging machine learning techniques to enhance data quality programs by developing models for anomaly detection, drift monitoring, and pattern recognition. The position requires expertise in Python and MLflow, with a focus on integrating machine learning signals into existing data quality frameworks. The candidate will also be responsible for monitoring model performance and communicating findings to the data quality team. This is a long-term remote position aimed at improving data integrity through advanced analytics.

Key Responsibilities:

  • Design and deploy anomaly detection models for numerical, categorical, and time-series data
  • Implement statistical drift monitoring across pipeline runs and data partitions
  • Build ML-based completeness prediction and consistency check models
  • Integrate ML DQ signals into the broader DQ alerting framework
  • Monitor model performance, retrain on new data patterns, and manage model lifecycle
  • Document model behaviour and communicate anomaly signals to the DQ team

Key Skills:

  • 4+ years in data science or ML engineering, with production model experience
  • Proficient in Python, PySpark, and MLflow on Databricks
  • Experience with anomaly detection, statistical process control, or data drift frameworks
  • Familiarity with feature stores and MLOps practices
  • Ability to explain model outputs to non-technical stakeholders

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Greetings from SRINAV INC.

Kindly find the below requirement and share your interest.

Position :ML/DQ Scientist

Location : Remote

Duration : Longterm

ML / DQ Scientist

ML / AI

Brings machine learning capabilities to the DQ programme. Builds anomaly detection, drift monitoring, and pattern-based models to catch data quality issues that rule-based checks miss.

Python / MLflow

Anomaly Detection

Databricks ML

Statistical Drift

Key Responsibilities

Design and deploy anomaly detection models for numerical, categorical, and time-series data

Implement statistical drift monitoring across pipeline runs and data partitions

Build ML-based completeness prediction and consistency check models

Integrate ML DQ signals into the broader DQ alerting framework

Monitor model performance, retrain on new data patterns, and manage model lifecycle

Document model behaviour and communicate anomaly signals to the DQ team

Requirements

4+ years in data science or ML engineering, with production model experience

Proficient in Python, PySpark, and MLflow on Databricks

Experience with anomaly detection, statistical process control, or data drift frameworks

Familiarity with feature stores and MLOps practices

Ability to explain model outputs to non-technical stakeholders

Apply
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