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Lead Data Scientist
3 months ago
Our client, a global technology company in pet care, is looking for a Lead Data Scientist to join their growing team This role requires a balance of leadership, technical expertise, and hands-on contribution. You will collaborate with clinical, technical, and business experts to deliver innovative embedded computer vision solutions.
This is a hybrid role with 1-2 days per week in their Frisco office.
Responsibilities:
- You will lead a team of 3-4 computer vision data scientists, providing mentorship, guidance, and technical expertise to drive project success and career development.
- You will collaborate closely with cross-functional teams, including engineering, clinical experts, product management, and business stakeholders, to define and prioritize computer vision initiatives aligned with business objectives.
- You will develop and implement strategies to enhance the team's capabilities in computer vision, deep learning, and related technologies, ensuring continuous improvement and innovation.
- You will drive the research, development, and implementation of state-of-the-art computer vision algorithms and techniques to solve complex problems and deliver impactful solutions.
- You will lead by example by contributing hands-on to projects, including coding, model development, experimentation, and validation.
- You will establish best practices, standards, and processes for computer vision projects to ensure scalability, reliability, and efficiency.
- You will stay abreast of the latest advancements and trends in computer vision, machine learning, and related fields and incorporate relevant technologies and methodologies into the team's work.
Qualifications:
- 2+ years of experience leading and managing teams of data scientists with a focus on computer vision.
- 5+ years of proficiency in Python programming and deep learning frameworks like PyTorch.
- Demonstrated 5+ years of expertise in designing, training, and deploying convolutional neural networks (CNNs) for various computer vision tasks.
- 2+ years of experience developing machine learning computer vision solutions for embedded devices and NVIDIA GPUs.
- Proven track record successfully delivering vision projects from ideation to deployment in a production environment.
- 2+ years of experience with cloud platforms, particularly AWS, for data processing, storage, and deployment.
- Experience using Databricks for scalable data engineering and machine learning workflows
- Strong communication skills with experience collaborating effectively with diverse teams and stakeholders.
- Strong problem-solving abilities with a passion for tackling complex technical challenges in computer vision.
- Familiarity with microscopy, digital cytology, or digital pathology is a plus
