BMA Group Global
About the Role
We’re looking for a
Junior Data Scientist
passionate about applying machine learning and AI to real‑world problems. In this role, you’ll design, train, and deploy models that help optimize network performance and uncover insights from large‑scale data systems. What You’ll Do
Identify and define ML problems for diagnostics, prediction, and optimization. Build, train, and evaluate AI/ML algorithms on large datasets. Support deployment and monitoring of machine learning models in production. Work with
Agentic AI
to solve complex network challenges. Collaborate across teams to deliver scalable, secure cloud‑based solutions. What You Bring
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s a plus). 2–4 years of experience in data science or machine learning. Strong foundation in
statistics, deep learning, time‑series analysis , and
anomaly detection . Advanced proficiency in
Python (PySpark, Scikit‑learn) . Strong communication and visualization skills. Why You’ll Love It
Exposure to large‑scale data and cutting‑edge AI projects. Inclusive and growth‑oriented work culture. Health, wellbeing, and career development programs. Seniority level
Associate Employment type
Full‑time Job function
Information Technology IT Services and IT Consulting
#J-18808-Ljbffr
We’re looking for a
Junior Data Scientist
passionate about applying machine learning and AI to real‑world problems. In this role, you’ll design, train, and deploy models that help optimize network performance and uncover insights from large‑scale data systems. What You’ll Do
Identify and define ML problems for diagnostics, prediction, and optimization. Build, train, and evaluate AI/ML algorithms on large datasets. Support deployment and monitoring of machine learning models in production. Work with
Agentic AI
to solve complex network challenges. Collaborate across teams to deliver scalable, secure cloud‑based solutions. What You Bring
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s a plus). 2–4 years of experience in data science or machine learning. Strong foundation in
statistics, deep learning, time‑series analysis , and
anomaly detection . Advanced proficiency in
Python (PySpark, Scikit‑learn) . Strong communication and visualization skills. Why You’ll Love It
Exposure to large‑scale data and cutting‑edge AI projects. Inclusive and growth‑oriented work culture. Health, wellbeing, and career development programs. Seniority level
Associate Employment type
Full‑time Job function
Information Technology IT Services and IT Consulting
#J-18808-Ljbffr