Lead Data Scientist

Job Description:

We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. As the Lead Data Scientist, you will be responsible for spearheading our data science initiatives, leveraging your expertise in Python, NumPy, Pandas, PyTorch, Keras, and Computer Vision. You will lead a team of data scientists and collaborate with cross-functional teams to develop cutting-edge solutions that drive business growth and innovation.

Responsibilities:

Data Science Leadership: Provide strategic direction and technical guidance to the data science team. Lead by example and inspire team members to deliver high-quality solutions in a fast-paced environment.
Model Development and Implementation: Design, develop, and deploy advanced machine learning and deep learning models using Python, PyTorch, and Keras to solve complex business problems, particularly in the realm of computer vision.
Data Analysis and Preprocessing: Analyze large datasets, extract valuable insights, and perform data preprocessing to ensure data quality and suitability for modeling.
Model Evaluation and Optimization: Conduct thorough model evaluation and optimization, fine-tuning parameters to achieve the best performance and ensure scalability.
Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and computer vision. Integrate new methodologies and technologies into the team's workflow to maintain a competitive edge.
Cross-functional Collaboration: Collaborate with stakeholders from different departments to understand business requirements, provide data-driven insights, and align data science projects with the company's goals.
Project Management: Manage data science projects from conception to completion, ensuring timely delivery and adherence to project milestones.
Team Management: Build and lead a high-performing data science team, fostering a collaborative and inclusive work environment. Mentor junior team members and encourage their professional growth.
Documentation: Document all data science processes, methodologies, and results, ensuring clear and concise communication across the organization.

Requirements:

Educational Background: Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, or a related field.
Technical Expertise: Demonstrated expertise in Python, NumPy, Pandas, PyTorch, and Keras for machine learning and deep learning applications. Strong knowledge of computer vision algorithms and techniques.
Experience: Minimum of 5 years of relevant experience in data science, with a focus on computer vision projects. Previous experience in a leadership or managerial role is preferred.
Problem-solving Skills: Proven ability to approach complex business problems creatively and apply data science techniques to derive actionable insights.
Communication Skills: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical stakeholders effectively.
Team Player: Collaborative and approachable, able to work effectively with cross-functional teams and mentor junior data scientists.
Innovative Mindset: Passionate about innovation and eager to explore new approaches and technologies in data science.
Project Management: Strong project management skills, with the ability to prioritize tasks, manage resources, and deliver results within deadlines.

Benefits:

We offer a competitive salary package, health benefits, and opportunities for professional development. You'll have the chance to work in a dynamic and fast-growing company that values creativity, innovation, and teamwork.
If you are a data-driven problem solver with a passion for leading and mentoring a team, along with expertise in Python, NumPy, Pandas, PyTorch, Keras, and computer vision, we would love to hear from you. Join us in shaping the future of data science and making a significant impact in our industry. Apply now and be part of our exciting journey!