Data Science Manager

# Data Science Manager ## Company Overview **Scrabble** is hiring for a venture-backed AI SaaS company that's building next-generation enterprise products using AI, cloud and modern engineering practices. ## Job Summary We are looking for a hands-on **Data Science Manager** to lead a team of 6–8 AI - Computer Vision engineers. This role is crucial in setting technical direction, personally solving challenging modeling problems, and fostering a high-performing engineering team in a fast-moving environment of a venture-backed industrial AI start-up. ## Responsibilities - **Technical Leadership & Hands-on Delivery**: - Own the end-to-end computer vision roadmap. - Architect and build solutions for complex vision challenges including novel defect types, multi-camera fusion, and real-time inference. - Evaluate and adopt new models and techniques, translating research into production value. - Define and enforce engineering standards for the vision stack, including model training pipelines and edge export formats. - Drive inference optimization to meet performance targets. - **Team Building & People Growth**: - Lead, mentor, and grow a team of 6–8 Computer Vision engineers. - Hire and onboard strong engineers while raising the technical bar. - Manage sprint planning, task prioritization, and delivery timelines. - **Innovation & Problem Solving**: - Identify new vision problems and design creative solutions. - Champion a data-centric AI approach and establish robust evaluation frameworks. ## Qualifications - **Educational Background**: - Bachelor’s or Master’s degree in Computer Science, AI/ML, Electrical Engineering, or a related field. - **Key Skills**: - 4–8 years of hands-on experience in computer vision with a strong track record from research to production. - Proficiency in **Python** and **PyTorch**; knowledge of OpenCV and image/video processing fundamentals. - Expertise in multiple CV tasks: object detection, segmentation, anomaly detection, etc. - Experience with modern model families such as YOLO and transformer-based models. - Production experience deploying models using TensorRT, ONNX, or OpenVINO. - Strong problem-solving skills in ambiguous and fast-paced environments. - Excellent communication skills for interaction with technical and non-technical stakeholders. ## Preferred Skills - Prior experience leading or mentoring small engineering teams, even without a formal management title. - Experience in industrial or manufacturing domains. - Familiarity with zero-shot detection and vision-language models. - Knowledge of 3D vision, depth estimation, and multi-object tracking. - Contributions to open-source CV projects or publications in top-tier venues. ## Experience - 4–8 years of relevant experience in the field of computer vision. ## Environment The typical work setting will be in a fast-paced start-up environment, where the candidate will ideally work closely with cross-functional teams. The specific location details have not been provided. ## Salary Salary details are unspecified. ## Growth Opportunities While specific growth opportunities have not been delineated, the role offers the potential to shape the technical direction and team culture within the organization. ## Benefits Details on benefits are unspecified.