Data Analytics Associate — Hybrid/Remote

OpenKrill; United States; Hybrid; USD 77,000 - 93,000; Full time

Benefits offered by this job

Equity plan

Hybrid work schedule

Job summary

iSpot is seeking a Client Data Scientist to advance data-driven decisions. You will write and optimize SQL/Python/R scripts, apply machine learning, and translate analyses into actionable insights for internal stakeholders.

The role blends hands-on coding with reporting, visualization, and collaboration. Hybrid work with Seattle-area offices or remote options; equity and competitive compensation included.

Qualifications

• Bachelor's degree in a quantitative or social science field.
• 1+ year coding in SQL or Python.
• Introductory knowledge of Analytics, Statistics, and AI coding tools.
• Exceptional written and verbal communication with internal stakeholders at all levels.

Responsibilities

• Collaborate on complex problems and write/optimize SQL or Python scripts for data processing.
• Adapt existing tools to evolving needs and balance workloads across projects; apply ML and statistics to inform decisions.
• Collect, aggregate, and manipulate data from multiple sources; create visualizations or reports.
• Engage with internal and external teams; document status in JIRA and communicate findings.
• Translate complex findings into accessible reports and presentations; participate in team discussions.

Skills

SQL

Python

R

Statistics

Machine Learning

Data Visualization

Communication

Education

Bachelor's degree in a quantitative or social science field

Tools

AWS S3

Snowflake

Databricks

Job description

iSpot is seeking a Client Data Scientist to advance data-driven decisions. You will write and optimize SQL/Python/R scripts, apply machine learning, and translate analyses into actionable insights for internal stakeholders.

The role blends hands-on coding with reporting, visualization, and collaboration. Hybrid work with Seattle-area offices or remote options; equity and competitive compensation included.