- Company Name
- Quantifind
- Job Title
- Associate Data Scientist
- Job Description
-
**Job Title**
Associate Data Scientist
**Role Summary**
Develop and deploy machine‑learning solutions that analyze large unstructured financial data to detect fraud, money‑laundering, and other compliance risks. Work within an agile, cross‑functional team to prototype models, build production‑ready pipelines, and integrate advanced AI tools, including LLMs, into the company's SaaS platform.
**Expectations**
- Minimum 1 year of industry data‑science experience.
- Master’s or higher in Statistics, Mathematics, or Computer Science.
- Strong analytical mindset with ability to communicate quantitative findings to both technical and business audiences.
- Self‑driven, independent problem solver comfortable with rapid prototyping and iterative improvement.
**Key Responsibilities**
- Prototype complex ML models and evaluate performance using hypothesis testing and cross‑validation.
- Design, implement, and maintain ETL pipelines (SQL, Python, PySpark) for large, heterogeneous datasets.
- Train supervised and unsupervised models (random forests, boosting, neural nets) and apply NLP methods (topic modeling, embeddings, text classification).
- Deploy models into production Scala codebase following software‑engineering best practices.
- Leverage LLMs for data‑labeling, entity extraction, and other scaling tasks.
- Collaborate with Product Managers and Platform Engineers to translate business problems into technical solutions.
- Participate in code reviews, documentation, and knowledge sharing.
**Required Skills**
- *Programming*: Python, PySpark, SQL, Scala; ML libraries (scikit‑learn, XGBoost, PyTorch/TensorFlow); NLP tools (spaCy, Hugging Face).
- *Statistics/Machine Learning*: hypothesis testing, inference, bias‑variance trade‑off, regularization, dimensionality reduction.
- *Data Engineering*: ETL design, big‑data processing, data quality.
- *Soft Skills*: analytical thinking, clear communication, agile collaboration, independent execution.
**Required Education & Certifications**
- Master’s or PhD in Statistics, Mathematics, or Computer Science (or equivalent).
- Relevant certifications (e.g., AWS Certified Machine Learning, Microsoft Certified: Azure Data Scientist Associate) are advantageous but not mandatory.