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Data Science Manager | Scrabble & Jigsaw

full-time
Posted on 04-08-2026

Job Description

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.

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