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

Remote • Posted 10 hours ago • Updated 10 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
12 Months
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • MLflow
  • Anomaly Detection
  • Databricks
  • ML
  • Statistical Drift
  • PySpark

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10114049
  • Position Id: 9010689
  • Posted 10 hours ago
Contact the job poster
SV

Surendra Venkat

Recruiter @ Srinav Inc.
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