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