Vacancy expired!
Job Title: Data Scientist Location: Middletown, NJ Duration: 12+ Months Responsibilities:
- Responsible for development of customer facing use cases, such as curation analytics, anomaly detection, etc. using rule based / pattern based programming and standard AI/ML models. Development of some use cases will require device farm automation, data scraping & extraction, and/or other methodologies as prescribed by use cases.
- May also be responsible for data ingestion, common data structures, publishers, building reports, and in the future may be responsible for cloud strategy and engineering backend systems (may be in cloud).
- This person will have a role of a technical data steward for the output data structures.
- Translate business requirements into software architecture and design
- Lead data analytics and data science work for individual use cases
- Implement & automate data collection from Internet Apps for analytics of content curation, placement, selection, recommenders, e.g., using device farm or other methods
- Participate in Agile ceremonies, schedule and hold periodic code reviews, track own scope of work and progress using relevant tools
- Work to be done in Unix/Linux environment using Golang and scripting languages, designing and developing production quality data driven algorithms, workflows, functions
- Provide documentation to any and all new code development or code changes that are made to existing code base, and document existing reports
- Identify, resolve and support the retest of all defects discovered during testing
- Assist in deployment of system to production, including validation that deployment was successful
- Support production issues in a timely manner dependent upon severity
- BS or MS in Data Analytics/ Computer Science/Math/Applied Math or equivalent
- Strong experience with AI/ML models and techniques, such as supervised machine learning, decision trees and logistic regression will help solve a range of data science problems, hands-on working knowledge of 3rd party, open-source tools, such as supervised machine learning, decision trees and logistic regression will help solve a range of data science problems
- Foundation in statistics and math
- Programming skills
- Knowledge of Python, and (highly desired) C and/or Golang
- Experience with ingestion of big data in near real time, and data processing/parsing/normalization
- Experience working with mobile devices using APIs, OS, embedded software
- Experience working with web servers, HTML/Java, web applications
- Experience with publish/subscribe models (such as Kafka) of data sharing/exchange
- Experience working with data packets, understanding of TCP/IP and networking
- Knowledge of video, audio, streaming technologies
- Agile process experience
- knowledge of 3GPP, LTE and 5G
Vacancy expired!