Senior Data Scientist & ML Engineer (Hybrid)

NLP PEOPLE; Denver (CO); Hybrid; USD 107,000 - 139,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Company-paid life insurance

Disability insurance

401(k) with match

Paid vacation

Paid sick leave

Paid holidays

Parental leave

Tuition reimbursement

Job summary

Identity Digital Inc. is seeking a Data Scientist and Machine Learning Engineer to translate complex business problems into data-driven ML solutions. You will collect, clean, and transform data, design and deploy predictive models, and monitor performance in production.

You will collaborate across teams, develop ML pipelines, and ensure reliable model serving. This Senior role requires 5+ years experience and strong Python/SQL skills while working across time zones in a hybrid US-based setup.

Qualifications

• 3+ years of experience in developing, deploying, and monitoring production data / ML pipelines.

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 and 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.
• Monitor model performance, data quality, drift, latency, and operational health.

Skills

Python

SQL

Data science

Machine learning

Model deployment

Model monitoring

Time-series analysis

Experimentation

Education

Bachelor’s degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field

Masters or PhD in AI/ML preferred

Tools

Airflow

Argo Workflows

BigQuery

Databricks

Snowflake

AWS

GCP

Git

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

LLMs

Job description

Identity Digital Inc. is seeking a Data Scientist and Machine Learning Engineer to translate complex business problems into data-driven ML solutions. You will collect, clean, and transform data, design and deploy predictive models, and monitor performance in production.

You will collaborate across teams, develop ML pipelines, and ensure reliable model serving. This Senior role requires 5+ years experience and strong Python/SQL skills while working across time zones in a hybrid US-based setup.