Saxon Global Inc. is a IT Consulting & Staffing Company located at Irving, TX
Job DescriptionHello,
Position: Data Scientist
Duration: Contract
Location: Austin, TX
Responsibilities:
Operations:
- Designing and evaluating experiments
- Monitoring key metrics, understanding root causes of changes in metrics
- Building and analyzing dashboards and reports
- Building key data sets to empower operational and exploratory analysis
- Evaluating and defining metrics
Exploratory Analysis:
- Proposing what to build in the next roadmap
- Understanding ecosystems, user behaviors, and long-term trends
- Identifying new levers to help move key metrics
- Building models of user behaviors for analysis or to power production systems
Data Infrastructure:
- Working in Spark(Python or Scala), Hadoop and Hive primarily
- Should have ability to build and manipulate Spark RDD's
- Automating analyses and authoring pipelines via SQL and python based ETL framework
Basic Qualifications:
- Min. 6 years' of work experience with Data Architecture, and Java Opensource
- Min. of 3 years' of work experience with Sentiment Analysis and OpenNLP
- Min. of 3 years' of work experience with Big Data Analytics, and Data Mining and Machine Learning
Ranjith
Saxon Global Inc
Direct: 972-573-3644
Desk: 972-363-1009* 218
Bachelor's degree in Computer Science field and related field
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Top Skills
What We Do
Saxon Global is a leading Digital Transformation Service provider. Saxon Global helps customers achieve operational excellence using cloud and Digital technologies. Our team of consultants, dedicated certified engineers, and decades of traditional IT experience combine to enable our customer’s success across every stage of the digital transformation journey. Companies in industries across healthcare, financial service, Retail, Telecom, Media, and SaaS rely on our pool of consultants to help them scale securely, automate, modernize their IT and gain efficiencies in private and public clouds.
