Data Science Manager

MTech Systems • Dunwoody, GA

1d • Hybrid

About The Position

We are seeking a hands-on Data Science Manager to design, build, and scale applied data science, machine learning, computer vision, and IoT intelligence systems across MTech platforms. This role is focused on execution and technical leadership rather than large-scale people management. Success is measured by production impact, model reliability, scalability, and business outcomes.

Responsibilities

• Applied Data Science and Machine Learning: Translate business and operational problems into data science solutions. Build statistical, predictive, and machine learning models for forecasting, anomaly detection, and optimization.
• Advanced Machine Learning and Deep Learning: Design, train, evaluate, and deploy advanced machine learning and deep learning models while balancing accuracy, performance, and scalability.
• Computer Vision and CNN Systems: Build camera-based systems using convolutional neural networks. Support detection, classification, tracking, and estimation use cases. Design data labeling, augmentation, and validation pipelines.
• IoT, Sensor Data, and Edge Intelligence: Work with sensor and time series data. Combine signal processing with machine learning. Define edge versus cloud inference strategies and deploy models into constrained environments.
• Advanced AI and LLM Applications: Apply large language models in enterprise systems. Implement fine tuning, retrieval augmented generation, and cutting edge AI architectures in global production grade environment.
• Architecture and MLOps: Design data pipelines, feature engineering workflows, and model lifecycle processes including deployment, monitoring, and retraining.
• Leadership and Collaboration: Mentor lead researchers, data scientists and ML engineers. Provide technical direction, lead project management and data science strategy while working closely with engineering, product, and platform teams.
• SME and Growth Support: Build IP, POVs and While Papers as a thought leader and research specialist. Collaborate with Sales teams to design customer aligned innovative solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed