Associate Data Scientist

Adelaide

Associate Data Scientist at Adelaide focusing on attention-based measurement. Collaborating with teams to develop data products and insights while working remotely within the US.

Posted 7/7/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $95,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in Python and SQL for data extraction and modeling, with a strong understanding of machine learning algorithms and data pipeline development. Capable of translating complex data insights into actionable narratives for diverse stakeholders.

Highest-signal resume keywords

Python ProficiencySQL Data ExtractionMachine Learning AlgorithmsData Pipeline DevelopmentRoot-Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingLogistic RegressionLinear RegressionRandomForestsXGBoostClustering MethodsDimensionality ReductionModel Performance AnalysisData Pipeline OptimizationBehavioral Data Analysis

Soft Skills

Communication SkillsProblem-SolvingBuilder Mentality

Certifications & Qualifications

Bachelor’s Degree in Quantitative Discipline

Industry Keywords

Data ScienceMachine LearningAdvertising ValueClient ManagementData-Driven Insights

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Interpret raw data and form compelling narratives to draw meaningful insights that communicate our story and mission
Work with our Data Science team, as well as Product and Client Services, to shape Adelaide’s data into a clear and concise story
Help to formulate, develop, and optimize models in production
Help to support and augment our machine learning system to aid advertisers in buying efficient media
Support client management teams with data-driven insights based on millions of behavioral data points each day
Work with the engineering team to build efficient and robust data pipelines
Help direct experimental studies aimed at understanding advertising value across multiple channels and media environments

Requirements

What you’ll need

Python proficiency and experience with data pipelines and modeling
SQL for extracting data from cloud databases
Understanding of classic ML algorithms: logistic regression, linear regression, RandomForests/XGBoost, clustering methods, and dimensionality reduction (e.g., PCA)
Ability to investigate and analyze model performance
Root-cause analysis skills for debugging dataset issues
Comfort explaining technical concepts to non-technical stakeholders
A builder mentality — you find proven solutions, work smarter not harder, and take pride in shipping things that matter
Bachelor’s degree in a quantitative discipline or equivalent professional experience.

Benefits

Comp & perks

Medical, dental, and vision insurance
Paid time off
Parental leave
Employee development & wellness stipend
Holiday break
Volunteer time off