As a Data Scientist Engineer, you will work closely with colleagues in development, product engineering, and solution delivery to design and deploy high-quality machine learning models and data pipelines. You will also contribute to setting best practices in data science, engineering methodologies, and model lifecycle management.
Responsibilities:
- Design, develop, and deploy machine learning models and data pipelines.
- Perform data analysis to uncover trends and patterns, translating them into strategic insights.
- Work collaboratively with business stakeholders and technical teams to gather requirements and translate them into analytical solutions.
- Develop new algorithms and improve existing ones to solve real-world problems.
- Implement best practices for data preprocessing, model validation, and performance monitoring.
- Stay up-to-date with emerging technologies and methodologies in data science and AI/ML.
- Proven experience in Data Science, Machine Learning, or Data Engineering roles.
- Strong programming skills, ideally in Python.
- Solid understanding of data querying and transformation using tools like SQL, Pandas, or NumPy.
- Experience working independently and collaborating across global or cross-functional teams.
- Familiarity with version control, deployment tools, and agile workflows.
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What We Do
Halo believes in innovation by inclusion to solve digital problems. Our interdisciplinary teams of adventurous designers, developers and entrepreneurial minds explore to discover together. Our variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. Founded in 2006 as an international agency specializing in interactive media strategy and development, we embrace curiosity and passion in a serious way. We believe in betterment through partnership, forming impactful collaborations with our clients so they can do the same with their audience. Working at Halo feels like belonging on the playground as we take an intellectual journey together.
