Data Engineer (Machine Learning)

Role: Data Engineer (Machine Learning)

Location: 100% Remote

Duration: Long Term Contract (2+ years)

Role Overview

The team builds data and machine learning services for advertiser sellers, helping them optimize ad budgets and campaign goals by recommending the right inventory, keywords, budgets, and bids, and continuously improving campaign performance. This is a high-growth area with strong business impact and involves working with massive datasets and applied data science techniques.

Key Responsibilities

Collaborate with Applied Researchers, Engineers, Analytics, and cross-functional teams to deliver end-to-end production-ready solutions

Design and implement scalable data pipelines to collect, process, and analyze large datasets

Integrate and deploy ML models into production systems

Perform deep data analysis to identify trends, interpret experimentation, and size opportunities in the advertising domain

Translate complex datasets into clear, actionable recommendations for both technical and non-technical stakeholders

Build dashboards to monitor system and business performance

Must-Have Skills

Building data pipelines and dashboards

Implementing and deploying ML models

Strong dataset analysis and ability to provide actionable insights

Excellent communication skills and ability to work with business partners across all levels

Active participation in team discussions and solutioning

Requirements

BS/MS in Computer Science or equivalent experience

Experience with big data tools: Spark, Hadoop

Strong knowledge of databases: SQL, NoSQL

Good understanding of machine learning applications

Strong programming skills: SQL, Python, Scala, or Java

Experience solving data science problems and deploying models into production for evaluation

Strong analytical skills in large dataset analysis, data mining, segmentation

Data visualization experience (Tableau/Kibana) is a plus