Remote Data Scientist

Description:

• Halo is an international agency with over 200 people specializing in interactive media strategy and development, focusing on innovation by inclusion to solve digital problems.
• The company values equity and empowerment, fostering deep, meaningful relationships with clients.
• As a Data Scientist, you will be part of a multidisciplinary team applying advanced analytics, machine learning, and generative AI to solve real-world problems across various sectors including consulting, health, wealth, and career businesses.
• You will collaborate closely with engineering, product, and business stakeholders to develop scalable models, design intelligent pipelines, and influence data-driven decision-making across the enterprise.

Requirements:

• You must design, develop, and deploy robust machine learning models and data pipelines that support AI-enabled applications.
• You should apply exploratory data analysis (EDA) and feature engineering techniques to extract insights and improve model performance.
• Collaboration with cross-functional teams to translate business problems into analytical use cases is essential.
• You will contribute to the full machine learning lifecycle, from data preparation and model experimentation to deployment and monitoring.
• Experience working with structured and unstructured data, including text, to develop NLP and generative AI solutions is required.
• You must define and enforce best practices in model validation, reproducibility, documentation, and versioning.
• Partnering with engineering to integrate models into production systems using CI/CD pipelines and cloud-native services is necessary.
• Staying current with industry trends, emerging techniques (e.g., RAG, LLMs, embeddings), and relevant tools is expected.
• A minimum of 3 years of experience in Data Science, Machine Learning, or Applied AI roles is required.
• Proficiency in Python (preferred) and a strong grasp of pandas, NumPy, and scikit-learn is necessary.
• You should be skilled in data querying, manipulation, and pipeline development using SQL and modern ETL frameworks.
• Experience working with Databricks, including notebooks, MLflow, Delta Lake, and job orchestration is required.
• Familiarity with Git-based workflows and Agile methodologies is essential.
• Strong analytical thinking, problem-solving skills, and communication abilities are necessary.
• Exposure to Generative AI, LLMs, prompt engineering, or vector-based search is preferred.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and deploying models in scalable environments is required.
• Knowledge of data versioning, model registry, and ML lifecycle tools (e.g., MLflow, DVC, SageMaker, DataBricks, or Vertex AI) is necessary.
• Experience working with visualization tools like Tableau, Power BI, or Qlik is required.
• A degree in Computer Science, Data Science, Applied Mathematics, or a related field is necessary.

Benefits:

• The position offers 100% remote work.
• Salary will be provided in USD.
• You will have the opportunity to work on challenging projects for the U.S.