Position: Data Scientist and Transformation Engineer
Location: Remote
Employment Type: Full-Time

Role Overview

The Data Scientist and Transformation Engineer will play a pivotal role in shaping Homefile’s data strategy. You’ll lead efforts to acquire, clean, and format data from diverse sources while ensuring that datasets are optimized for training and fine-tuning advanced AI models. This role combines data engineering, analysis, and machine learning, with a specific focus on preparing data for SLMs and LLMs that power Homefile’s AI assistant, Homie.

Key Responsibilities

Data Discovery and Acquisition

• Identify, evaluate, and acquire diverse data sources, including:
  • Home maintenance costs and trends.
  • Appliance warranties and product data.
  • Home improvement and service provider metrics.
• Collaborate with internal and external stakeholders to integrate proprietary and third-party data into Homefile’s systems.

Data Transformation and Engineering

• Build and maintain pipelines to process, clean, and transform raw data into structured, scalable formats.
• Develop and optimize datasets specifically designed for training and fine-tuning SLMs and LLMs, ensuring compliance with model requirements.
• Implement techniques for formatting unstructured data into structured formats (e.g., tabular data, JSON, or knowledge graphs).
• Manage schema design and ensure data quality for use in machine learning pipelines and LLM APIs.

AI Model Preparation and Integration

• Curate high-quality training datasets for SLMs and LLMs, focusing on tasks such as:
  • Contextual understanding of homeowner needs.
  • Automation of maintenance recommendations.
  • ROI-driven home improvement suggestions.
• Pre-process and annotate data for supervised learning or fine-tuning tasks.
• Collaborate with the AI team to integrate formatted data into Homefile’s Generative AI pipelines.

Data Science and Machine Learning

• Conduct exploratory data analysis to uncover trends, patterns, and actionable insights.
• Develop predictive models and algorithms to power features such as cost forecasting, improvement ROI analysis, and service recommendations.
• Continuously refine models for performance and scalability in production environments.

Collaboration and Impact

• Work closely with product managers, AI engineers, and backend developers to ensure data initiatives align with Homefile’s mission.
• Document and share best practices for data preparation, transformation, and integration with machine learning systems.
• Champion ethical and transparent data usage, ensuring user trust and compliance.

Qualifications

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, or related fields, and or equivalent experience.

Experience

• 3+ years of experience in data engineering, data science, or machine learning.
• Proven ability to prepare data for use in training or fine-tuning SLMs or LLMs (e.g., GPT, BERT, T5)

Technical Skills

• Proficiency in Python and tools like Pandas, NumPy, and Scikit-learn.
• Experience with data processing frameworks (e.g., Apache Airflow, dbt).
• Strong understanding of data preprocessing techniques for LLMs, including tokenization and embedding generation.
• Knowledge of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with APIs for deploying LLMs (e.g., OpenAI, Hugging Face).

Preferred Skills

• Strong problem-solving and critical-thinking skills.
• Effective communication and collaboration with cross-functional teams.
• Experience with home management, property technology, or service provider platforms.
• Hands-on experience in MLOps tools for deploying and monitoring machine learning pipelines.
• Knowledge of data annotation tools and processes.
• Familiarity with multi-modal AI (text, images, and structured data).