Role Overview
We are seeking a Freelance Data Scientist with availability to handle multiple projects, who can lead complex data initiatives, design robust models, and influence product and business decisions through data.
This position starts as a part-time position and has the potential to become a full-time employee depending on performance.
Hourly salary will be determined based on experience and skill level.
This role requires deep expertise in statistics, machine learning, and data modeling, along with the ability to mentor others, define best practices, and work closely with engineering, product, and leadership teams.
Exposure to modern AI and LLM-based systems is a strong plus.
Key Responsibilities
Lead end-to-end data science projects from problem definition to production deployment
Design, build, and optimize advanced statistical and machine learning models
Analyze large-scale, structured and unstructured datasets to generate actionable insights
Define data science best practices, modeling standards, and evaluation frameworks
Design and analyze experiments (A/B tests, causal analysis, hypothesis testing)
Partner with product, engineering, and business stakeholders to influence strategy and roadmap
Review and improve existing models for accuracy, scalability, and robustness
Mentor junior data scientists and review analytical work
Clearly communicate complex findings to senior stakeholders and leadership
Ensure data quality, reproducibility, and documentation across projects
Required Skills & Qualifications
Core Technical Expertise
Expert-level proficiency in Python (Pandas, NumPy, Scikit-learn)




Strong foundation in statistics, probability, and linear algebra
Extensive experience with machine learning techniques (regression, classification, clustering, time-series, anomaly detection)
Strong hands-on experience with SQL and relational databases
Experience working with large datasets and complex data pipelines
Deep understanding of model evaluation, bias/variance trade-offs, and performance monitoring
Proven experience taking models from development to production
Nice to Have (AI & LLM Experience)
Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar
Experience integrating LLM APIs into production systems
Strong understanding of prompt engineering and output evaluation
Experience with embeddings, semantic search, and vector similarity techniques
Knowledge of Retrieval-Augmented Generation (RAG) architectures
Experience working with vector databases (Pinecone, FAISS, Weaviate, Milvus, etc.)
Awareness of AI risks such as hallucinations, bias, security, privacy, and cost optimization
Leadership & Soft Skills
Strong ownership and decision-making ability
Proven ability to mentor and guide team members
Excellent communication skills with both technical and non-technical audiences
Business-first mindset with the ability to balance speed, accuracy, and impact
Comfortable working in ambiguous, fast-moving environments
Education
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field
Equivalent real-world experience is highly valued
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