Data Engineer (Machine Learning)
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Role:Data Engineer (Machine Learning)
Location:100% Remote
Duration:Long Term Contract (2 years)
Role Overview
The team buildsdata and machine learning services for advertiser sellers helping them optimize ad budgets and campaign goals by recommending the rightinventory 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 deliverend-to-end production-ready solutions
Design and implement scalabledata pipelinesto collect process and analyze large datasets
Integrate and deploy ML modelsinto 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
Buildingdata pipelinesanddashboards
Implementing and deployingML 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
Location:100% Remote
Duration:Long Term Contract (2 years)
Role Overview
The team buildsdata and machine learning services for advertiser sellers helping them optimize ad budgets and campaign goals by recommending the rightinventory 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 deliverend-to-end production-ready solutions
Design and implement scalabledata pipelinesto collect process and analyze large datasets
Integrate and deploy ML modelsinto 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
Buildingdata pipelinesanddashboards
Implementing and deployingML 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
Required Skills:
MLPYTHONSCALATABLEAU
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
