Data Scientist & ML Engineer — Build Production ML Pipelines (Hybrid)

identitydigital; Bellevue (WA); Hybrid; USD 107,000 - 139,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid vacation

Paid sick leave

Paid holidays

Parental leave

Tuition reimbursement

Job summary

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to join the Data & Analytics team in a hybrid role based in the United States. You will translate business problems into data and ML solutions, build and deploy models, and maintain reliable model serving while collaborating with engineers and domain experts.

You will work across data science and ML engineering disciplines, leveraging modern tools to drive measurable business impact and support automated decisioning.

Qualifications

• 3+ years of experience building, deploying, and monitoring production data/ML pipelines.
• Bachelor's degree in Mathematics, CS, Data Science, Engineering or related quantitative field; advanced degree preferred.
• Strong knowledge in anomaly detection, time-series analysis, data processing, causal inference, reinforcement learning, embeddings, vector databases, LLMs, and modern MLOps.

Responsibilities

• Translate business problems into data, modeling, and ML solutions.
• Collect, clean, transform, and validate data for analysis and model development.
• Explore data to identify patterns, trends, and actionable insights.
• Design, train, evaluate, and refine predictive or optimization models.
• Deploy models for batch or real-time inference and maintain serving infra.
• Build reproducible data and ML pipelines and monitor performance and data quality.

Skills

Python

SQL

Machine learning

MLOps

Data analysis

BigQuery

TensorFlow

PyTorch

Kubernetes

Airflow

Shell scripting

Education

Bachelor's degree in a quantitative field

Advanced degree (MS/PhD) in AI/ML preferred

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 join the Data & Analytics team in a hybrid role based in the United States. You will translate business problems into data and ML solutions, build and deploy models, and maintain reliable model serving while collaborating with engineers and domain experts.

You will work across data science and ML engineering disciplines, leveraging modern tools to drive measurable business impact and support automated decisioning.