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Data Engineer - Data Science/AI/Machine Learning

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Jim Beatrice Principal Recruiter

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Job Info

Category Data Science/AI/Machine Learning
Employment Type Full-Time Employment
Compensation $0.00 - $0.00
Location United States, CA - 94303

Client Introduction

Using complex algorithms to mine the vast untapped data sources every company has and then applying predictive analytics that allows our customers to increase their rate of return for sales enablement in the enterprise market. The goal is to increase repeat and recurring revenue on a large scale.

Job Description

You thrive on delving into vast datasets to analyze and retrieve meaningful results and like to do so in a reliable and repeatable manner that will deliver value to the customer.

Job Responsibilities

*Automation of existing processes, reducing the time taken to complete tasks and increase the time-to-value of each implementation.
*Execution of data analysis, ETL, and data mining to support customer deployments per SLAs.
*Concurrent management of new and existing customers.
*Work closely with Data Analysts and Customer Implementation Managers to ensure high levels of customer satisfaction and retention.


You thrive on details and accuracy.
You have proven experience working with large datasets and drilling down to get insights from this data using various BI Tools and techniques.
You have experience dealing with large enterprise customers.

Required Experience

*At least 4 years experience in a SaaS environment.
*2-4 years of software development experience using Java / Python / Perl / Ruby
*Hands-on experience writing complex sql queries, extracting and importing large amounts of data.
*Some experience working with enterprise ERP systems such as Oracle, SAP, and CRM like, Microsoft Dynamics .
*Experience with the design of solutions implementation based on customer’s requirements.
*Experience working with Amazon Web Services (AWS) is a huge plus.
*Some development process experience.
*Proven track record of successful customer engagements.

Required Education

*Bachelors degree in a scientific, mathematical, or technical field such as physics, math, economics, or engineering.

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