Description

You will apply statistical modeling and machine learning techniques to solve complex data science problems.

Responsibilities

• Develop and implement AI/ML models using supervised machine learning, decision trees, and logistic regression.
• Build pipelines for near real-time big data ingestion, processing, parsing, and normalization.
• Integrate data solutions with mobile devices via APIs, OS, and embedded software.
• Work with web servers, web applications, and HTML/Java environments.

Required Skills

• BS or MS in Data Analytics, Computer Science, Math, Applied Math, or equivalent.
• Strong foundation in statistics and mathematics.
• Hands-on experience with supervised machine learning, decision trees, and logistic regression.
• Proficiency in Python.
• Experience with data ingestion and processing in near real-time environments.
• Knowledge of mobile device integration, including APIs and embedded software.
• Experience with web applications, HTML, and Java.
• Experience with C and/or GoLang.

Preferred Skills

• Experience with Kafka or publish/subscribe data models.
• Understanding of TCP/IP, networking, and data packets.
• Knowledge of 3GPP, LTE, 5G, and streaming technologies.

Key Skills

Education

Any graduate