Job Description
Lead Data Scientist
About the Role
As a Lead Data Scientist, you will be a strategic thinker and technical expert, combining advanced analytics, machine learning, and artificial intelligence to drive high-impact business solutions. You will play a pivotal role in identifying, designing, and delivering AI/ML opportunities within product offerings, ensuring data-driven decision-making at scale.
This role requires a strong ability to lead technical projects, guide teams, and work cross-functionally with software engineers, architects, program managers, and product owners. You will provide technical oversight, ensure best practices in AI/ML development, and drive innovation through data science methodologies. As a thought leader, you will mentor team members, shape AI/ML strategies, and collaborate with domain experts, partners, and clients to develop Proof-of-Concepts and production-ready models.
Essential Duties and Accountabilities
- Lead the technical design and development of scalable AI/ML solutions aligned with business and functional requirements.
- Drive best practices in ML model development, deployment, and optimization.
- Oversee the testing, debugging, and continuous improvement of data science solutions.
- Engage with stakeholders to understand business needs and translate them into data-driven solutions.
- Provide technical mentorship and guidance to data science teams.
- Define high-level architectures and strategic AI/ML roadmaps.
- Represent the company in large-scale internal and external AI/ML projects.
- Foster a culture of innovation, collaboration, and knowledge sharing across teams.
- Stay ahead of emerging trends in AI/ML and advocate for their adoption where relevant.
Overall Required Competence
- Proven experience in leading data science projects and teams.
- Strong technical expertise in AI/ML model development, deployment, and performance tuning.
- Proficiency in ML frameworks, algorithmic design, and data science methodologies.
- Hands-on experience with data engineering, data pipelines, and cloud-based AI/ML solutions.
- Strong software development skills in Python, R, or similar languages.
- Excellent problem-solving, analytical, and decision-making abilities.
- Experience defining AI/ML architectures and integrating them into business applications.
- Strong stakeholder management, communication, and presentation skills.
- Ability to mentor and guide junior and mid-level data scientists.
Required Education & Experience
- A University degree or equivalent professional qualification with at least 2 years of industry experience as a data scientist, or a master’s level degree in data science, is an essential prerequisite for all career levels.
Must-Have Attributes
- Self-starter
- Low fear of change
- Ability to learn and adapt to new technologies quickly
- Technical aptitude and understanding
- Courage, able to take the initiative and remove barriers for a team
- Able to work with a range of personalities and cultures
If you are interested in this position, please send your resume to careers@codification.io