About The Company

Data Idols is a renowned data consultancy firm dedicated to empowering organizations through innovative data solutions. With a focus on leveraging advanced analytics, machine learning, and data engineering, Data Idols partners with industry-leading clients across various sectors to drive strategic decision-making and operational excellence. The company prides itself on fostering a collaborative and inclusive work environment that encourages continuous learning and professional growth. As a forward-thinking organization, Data Idols is committed to delivering impactful insights and building scalable data infrastructures that meet the evolving needs of its clients.

About The Role

As a Lead Full-stack Data Scientist at Data Idols, you will play a pivotal role in shaping the data-driven strategies of our client in the tech industry. Reporting directly to the Head of Data Science, you will lead a team of talented data scientists and engineers, providing technical guidance and strategic direction. Your responsibilities will include developing and deploying sophisticated machine learning models, managing end-to-end project lifecycles, and ensuring the successful integration of solutions into production environments. This role offers a unique opportunity to influence high-impact projects, mentor emerging talent, and work within a dynamic, innovative team committed to excellence.

Qualifications

• Proven experience in building and deploying machine learning models into production environments
• Strong proficiency in Python, with extensive experience in data science libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
• Solid understanding of SQL for data extraction, transformation, and loading (ETL) processes
• Experience with Google Cloud Platform (GCP) or similar cloud services for scalable data solutions
• Demonstrated leadership skills in managing projects end-to-end and mentoring team members
• Excellent analytical, problem-solving, and communication skills
• Degree in Computer Science, Data Science, Statistics, or a related field; advanced degrees are a plus

Responsibilities

• Lead the design, development, and deployment of advanced machine learning models to solve complex business problems
• Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to define project scope and objectives
• Provide technical leadership and mentorship to junior team members, fostering a culture of continuous improvement and innovation
• Ensure the scalability, reliability, and security of data solutions in cloud environments, primarily using GCP
• Manage the entire project lifecycle from initial data exploration and model development to deployment and monitoring
• Stay abreast of industry trends and emerging technologies to continuously enhance the team’s capabilities and project outcomes
• Communicate findings and technical concepts effectively to non-technical stakeholders, supporting data-driven decision-making

Benefits

At Data Idols, we offer a comprehensive benefits package designed to support your professional and personal growth. You will have access to competitive salary packages, flexible hybrid working arrangements, and opportunities for continuous learning through training and development programs. The company values work-life balance and provides a collaborative environment where your ideas and contributions are valued. Additional benefits include health insurance, pension schemes, and performance-based incentives, all aimed at fostering a rewarding and sustainable career path.

Equal Opportunity

Data Idols is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other characteristic protected by law. We believe that diverse teams drive innovation and are essential to our success, and we actively encourage candidates from all backgrounds to apply.

Details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Information Technology
• Industries: Technology, Information and Media