Senior Data Scientist — Enterprise Data & AI Systems

Unchain Data; Miami, Northern (FL, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hut 8 is seeking a seasoned data professional to own and advance our enterprise data program from our Miami headquarters. You will shape data requirements, data models, lineage, and quality metrics to empower decision-making.

Collaborating with Data Operations and Software Engineering, you’ll improve ingestion, governance, and lifecycle management while building reusable models, reports, and dashboards. Strong communication across tech and business teams is essential.

Qualifications

• Degree in data science, statistics, CS, or related field.
• 6+ years in data science, analytics engineering, or related.
• Strong Python and SQL proficiency.
• Experience with data warehouses and ETL/ELT processes.
• Familiarity with Snowflake or BigQuery.

Responsibilities

• Own or contribute to the enterprise data inventory, including systems, owners, and quality gaps.
• Translate business needs into data requirements, mappings, models, and acceptance criteria.
• Partner with Data Operations and Software Engineering to improve ingestion, transformation, governance, and lifecycle.
• Prepare data for semantic layers, metadata, and access controls.
• Apply data science methods to develop models, dashboards, and decision-support products.
• Monitor data product reliability and communicate impact to stakeholders.

Skills

Python

SQL

Data Modeling

Data Warehouses

ETL/ELT

Snowflake

BigQuery

Communication skills

ML concepts

Data governance

Education

Bachelor's or Master's in data science, Statistics, CS, Engineering, Business Analytics, Mathematics, or related field

Tools

Airflow

Tableau

Metabase

Git

CI/CD

Job description

Hut 8 is seeking a seasoned data professional to own and advance our enterprise data program from our Miami headquarters. You will shape data requirements, data models, lineage, and quality metrics to empower decision-making.

Collaborating with Data Operations and Software Engineering, you’ll improve ingestion, governance, and lifecycle management while building reusable models, reports, and dashboards. Strong communication across tech and business teams is essential.