Applied Data Science Manager

We are looking for a hands-on Applied Data Science Manager who can lead by example, build and deploy machine learning models, and manage a team of data scientists. The ideal candidate will have a strong background in machine learning, data science, and software engineering, as well as excellent leadership and communication skills.

Key Responsibilities:

1. Lead Data Science Team: Manage a team of data scientists and engineers, providing guidance, mentorship, and oversight to ensure the successful delivery of data science projects.
2. Build and Deploy ML Models: Design, develop, and deploy machine learning models that drive business value, working closely with cross-functional teams to integrate models into production environments.
3. Develop Data Science Strategy: Collaborate with senior leadership to develop and implement a data science strategy that aligns with business objectives, identifying opportunities to leverage data science and machine learning to drive growth and innovation.
4. Foster a Culture of Innovation: Encourage a culture of innovation, experimentation, and continuous learning within the data science team, staying up-to-date with the latest advancements in machine learning and data science.
5. Communicate Insights and Results: Effectively communicate data science insights and results to non-technical stakeholders, including senior leadership, product managers, and business stakeholders.

Requirements:

1. Education: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
2. Experience: 15+ years of experience in data science, machine learning, or a related field, with at least 3 years of experience in a leadership or management role.
3. Technical Skills: Strong expertise in machine learning, data science, and software engineering, including:
   • Programming languages: Python, R, or Julia
   • Machine learning frameworks: TensorFlow, PyTorch, or Scikit-Learn
   • Data science tools: Pandas, NumPy, Matplotlib, or Seaborn
   • Cloud platforms: AWS, GCP, or Azure
4. Leadership Skills: Excellent leadership and management skills, with experience in:
   • Team management and leadership
   • Project management and delivery
   • Stakeholder management and communication
5. Communication Skills: Strong communication and interpersonal skills, with experience in:
   • Communicating technical concepts to non-technical stakeholders
   • Presenting insights and results to senior leadership and business stakeholders