Senior Data Engineer (Machine Learning)

Diligent Tec, Inc United State
Remote
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AI Summary

Design and implement scalable data pipelines to collect, process, and analyze large datasets. Collaborate with cross-functional teams to deliver end-to-end production-ready solutions. Translate complex datasets into clear, actionable recommendations for both technical and non-technical stakeholders.

Key Highlights
High-growth area with strong business impact
Massive datasets and applied data science techniques
Collaboration with cross-functional teams
Key Responsibilities
Design and implement scalable data pipelines
Collaborate with cross-functional teams
Translate complex datasets into clear, actionable recommendations
Technical Skills Required
Building data pipelines Implementing and deploying ML models Strong dataset analysis Excellent communication skills SQL Python Spark Hadoop SQL NoSQL Tableau/Kibana
Benefits & Perks
Long Term Contract (2+ years)
100% Remote
BS/MS in Computer Science or equivalent experience
Nice to Have
Data visualization experience (Tableau/Kibana)

Job Description


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

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