Hybrid Data Scientist & ML Engineer: Build Production ML

Identity Digital; United States; Hybrid; USD 107,000 - 139,000; Full time

Job summary

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to translate complex business problems into data modeling and ML solutions. You will collect, clean, transform, and validate data for model development, explore datasets for patterns and insights, and design and deploy predictive models in production.

The role requires 3 years of hands-on experience with data ML pipelines, strong Python and SQL skills, and familiarity with modern MLOps tools.

Qualifications

• 3 years of experience in developing deploying and monitoring production data ML pipelines
• Bachelor’s Degree in Mathematics Computer Science Data Science Engineering or other quantitative field is required; Advanced degree Masters or PhD in AI/ML preferred
• Deep technical knowledge in topics such as anomaly detection time series analysis data processing and ML methods
• Strong programming in Python and SQL; Shell scripting a plus
• Knowledge of the domain name industry or digital identity ecosystem is a plus

Responsibilities

• Translate complex business problems into data modeling and machine learning solutions
• Collect, clean, transform and validate data for analysis and model development
• Explore data to identify patterns, trends, anomalies and actionable insights
• Design, train, evaluate and refine predictive or optimization models
• Build reproducible data and machine learning pipelines
• Deploy models for batch or real time inference
• Develop and maintain infrastructure for reliable model serving
• Monitor model performance, data quality, drift, latency and health
• Communicate findings and collaborate with stakeholders, engineers and domain experts

Skills

Python

SQL

Shell scripting

Airflow

Argo Workflows

BigQuery

Databricks

Snowflake

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

LLMs

Education

Bachelor's Degree in Mathematics Computer Science Data Science Engineering or other quantitative field

Tools

Airflow

Argo Workflows

BigQuery

Databricks

Snowflake

AWS

GCP

Git

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

Job description

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to translate complex business problems into data modeling and ML solutions. You will collect, clean, transform, and validate data for model development, explore datasets for patterns and insights, and design and deploy predictive models in production.

The role requires 3 years of hands-on experience with data ML pipelines, strong Python and SQL skills, and familiarity with modern MLOps tools.