Senior Data Scientist

Halo believes in innovation by inclusion to solve digital problems. As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging. Learn more about our philosophy, benefits, and team at https://halopowered.com/

As a Data Scientist, 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:

• Collect, clean, and preprocess large datasets from multiple sources.
• Develop and implement machine learning models and advanced analytics solutions.
• Perform statistical analysis to uncover trends, patterns, and correlations.
• Design and optimize predictive models for business decision-making.
• Build and maintain data pipelines for efficient data processing and analysis.
• Visualize data insights using BI tools (Tableau, Power BI) and Python/R libraries.
• Collaborate with cross-functional teams to define data-driven strategies.
• Ensure model performance, interpretability, and scalability.
• Document processes, methodologies, and key findings.

Requirements:

• 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.

Benefits:

• 100% Remote Work.
• Salary in USD.
• Get to work on challenging projects for the U.S!