Data Scientist & ML Engineer — Production-Ready Models

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

Benefits offered by this job

Health insurance

401(k) with 5% match

Paid vacation

Paid sick leave

Paid holidays

Parental leave

Tuition reimbursement

Life and disability insurance

Job summary

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to join the Data & Analytics team. You will translate business problems into data and model solutions, build ML pipelines, and deploy models in production across batch and real-time workloads.

You will work with Python/SQL, cloud data warehouses, and modern MLOps tools, collaborating with engineers and domain experts in a hybrid U.S. office setup. The role offers generous health, retirement, and leave benefits.

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.
• Strong knowledge of anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, LLMs, and modern MLOps / LLMOps practices.

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.
• Select appropriate features, algorithms, metrics, and validation strategies.
• 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 operational health.
• Communicate findings and collaborate with stakeholders, engineers, and domain experts.
• Actively models and promotes Identity Digital’s core values through day-to-day interactions, behaviors, and decision-making.
• Other duties as assigned

Skills

Python

SQL

Shell scripting

Data analysis

Machine learning

Problem-solving

Communication

Cross-functional collaboration

Education

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

Advanced degree (Masters or PhD) in AI/ML preferred

Tools

Airflow

Argo Workflows

BigQuery

Databricks

Snowflake

AWS

GCP

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

LLMs

Job description

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to join the Data & Analytics team. You will translate business problems into data and model solutions, build ML pipelines, and deploy models in production across batch and real-time workloads.

You will work with Python/SQL, cloud data warehouses, and modern MLOps tools, collaborating with engineers and domain experts in a hybrid U.S. office setup. The role offers generous health, retirement, and leave benefits.