Expired
Company:
Amiseq Inc.
Location: San Jose
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Responsibilities
· Work with Applied Researchers, Engineers, Analytics and multi-functional teams to produce end-to-end production-ready solutions.
· Design and implement efficient data pipelines to collect, process, and analyze large datasets.
· Integrate/deploy machine learning models into production systems.
· Conduct data analysis to identify trends, insights, interpret experimentation and size opportunities within the advertising domain. Translate complex datasets into understandable and actionable recommendations for both technical and non-technical stakeholders.
· Build dashboards to monitor system/business performance and status
Requirements
· BS or MS in Computer Science or equivalent experience
· Experience with big data technologies (i.e., Spark, Hadoop) and database technologies (i.e., SQL, NoSQL)
· Good understanding of machine learning applications.
· Strong programming skills in SQL, Python, Scala or Java
· Experience in solving problems using data science, building practical solutions, and deploying models into production for evaluation
· Strong ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. Experience with data visualization tools (e.g., Tableau) is a plus.
· Work with Applied Researchers, Engineers, Analytics and multi-functional teams to produce end-to-end production-ready solutions.
· Design and implement efficient data pipelines to collect, process, and analyze large datasets.
· Integrate/deploy machine learning models into production systems.
· Conduct data analysis to identify trends, insights, interpret experimentation and size opportunities within the advertising domain. Translate complex datasets into understandable and actionable recommendations for both technical and non-technical stakeholders.
· Build dashboards to monitor system/business performance and status
Requirements
· BS or MS in Computer Science or equivalent experience
· Experience with big data technologies (i.e., Spark, Hadoop) and database technologies (i.e., SQL, NoSQL)
· Good understanding of machine learning applications.
· Strong programming skills in SQL, Python, Scala or Java
· Experience in solving problems using data science, building practical solutions, and deploying models into production for evaluation
· Strong ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. Experience with data visualization tools (e.g., Tableau) is a plus.
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