Hybrid Data Scientist & ML Engineer — Production ML

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

Benefits offered by this job

Health insurance

401(k) 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 bridge data science and ML engineering initiatives. You will drive data-informed decision making, build and deploy predictive models, and maintain scalable ML pipelines across batch and real-time environments.

You will collaborate with BI, data engineers, and product teams while embracing Identity Digital's core values, traveling as needed and supporting a global organization.

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 required; advanced degree preferred
• Strong knowledge of anomaly detection, time-series analysis, and data processing for ML/modeling
• Proficiency in Python and SQL; shell scripting is a plus
• Experience with model deployment and MLOps practices; ability to deploy models in production
• Experience with cloud data warehouses and major cloud providers; familiarity with Airflow or Argo Workflows
• Ability to translate business problems into data-driven solutions and communicate findings clearly

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 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
• Other duties as assigned

Skills

Python

SQL

Machine learning

Data analysis

Model deployment

MLOps

Time-series

Anomaly detection

Vector databases

LLMs

Shell scripting

BigQuery

Databricks

Snowflake

AWS

GCP

Git

Kubernetes

Pandas

Polars

PyTorch

TensorFlow

SHAP

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

Git

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

Job description

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to bridge data science and ML engineering initiatives. You will drive data-informed decision making, build and deploy predictive models, and maintain scalable ML pipelines across batch and real-time environments.

You will collaborate with BI, data engineers, and product teams while embracing Identity Digital's core values, traveling as needed and supporting a global organization.