Are you looking for a new and challenging opportunity? Do you have experience with PySpark/SparklyR? Technology Partners can help you make your next big career move a reality.
Technology Partners is currently seeking a talented person for a Data Science Advisor (IT).
What You Will Be Doing:
You will assist in data acquisition and data preparation by pulling data from various databases to create modeling dataset for machine learning models. You will also assist in deployment and parallel testing of machine learning models and other automated models on various platforms. You will design data visualization, data transformation modules and supports enterprise data science team. You will apply in-depth knowledge and experience to manage data science applications and liaise with partners in IT and Infrastructure team to develop new approaches and systems for efficiently implementing Data Science solutions. You will help debug complex system issues and rollout fixes. You will also perform data analysis and assist in data reporting as needed.
What We Are Looking For:
Degree in Computer Science, Engineering, MIS or related quantitative disciplines, with minimum of three (3) years of relevant experience (Bachelors required, Masters preferred)
Expert in SQL/Hive and strong experience with Teradata, Oracle, LINUX/UNIX OS, Hadoop/HDFS (and related technologies)
PySpark/SparklyR development experience
Experience working in HDFS, Apache Spark or Big Data platforms
Experience with R or Python
CICD, DevOps (Jenkins)
If this position sounds like you, WE SHOULD TALK!
We realize our people are our most valuable asset, that is why we offer the following benefits:
Health, Dental, and Vision insurance
401(k) retirement plan
Long and Short-Term disability
Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!
Looking for more opportunities with Technology Partners?
Check out jobs.Technologypartners.Net. Technology Partners is an Equal Opportunity Employer. Technology Partners does not discriminate on the basis of race, color, religion, sex, national origin, age, disability or any other characteristic protected by applicable state or federal civil rights laws.