Senior Data Scientist & ML Engineer (Production AI)

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

Benefits offered by this job

Hybrid work model

Job summary

Identity Digital is hiring a Data Scientist and Machine Learning Engineer to translate complex business problems into data, modeling, and ML solutions. You'll build and productionize models, deploy batch or real-time inference, and develop scalable data pipelines across BI and ML platforms.

You'll work with Python and SQL, utilize Airflow, cloud data warehouses like BigQuery, Databricks, and Snowflake, and collaborate with engineers and domain experts across time zones.

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; Advanced degree preferred in AI/ML.
• Deep technical knowledge in anomaly detection, time-series analysis, causal inference, reinforcement learning, embeddings, vector databases, LLMs, and modern MLOps / LLMOps.
• Strong Python and SQL skills; Shell scripting a plus.
• Experience with Airflow, Kubernetes, cloud data warehouses (BigQuery, Databricks, Snowflake) and ML platforms.

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.

Skills

Python

SQL

Data modeling

Machine learning

ML pipelines

Education

Bachelor's degree in Mathematics, Computer Science, Data Science or related field

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

Tools

Airflow

Kubernetes

BigQuery

Databricks

Snowflake

Pandas

PyTorch

TensorFlow

Job description

Identity Digital is hiring a Data Scientist and Machine Learning Engineer to translate complex business problems into data, modeling, and ML solutions. You'll build and productionize models, deploy batch or real-time inference, and develop scalable data pipelines across BI and ML platforms.

You'll work with Python and SQL, utilize Airflow, cloud data warehouses like BigQuery, Databricks, and Snowflake, and collaborate with engineers and domain experts across time zones.