Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
About the role
- Senior Data Scientist leading strategic insights in data analysis projects for financial sector. Designing complex models and mentoring junior scientists while ensuring analytical quality.
Responsibilities
- Senior Data Scientists lead data analysis projects and provide strategic insights.
- Responsibilities include designing complex models, mentoring junior data scientists, and ensuring the quality of analytical work.
- You will work closely with business leaders to understand needs and deliver actionable insights.
Requirements
- Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field.
- 7+ years of work experience in analytics, data science, or a similar data-driven role. Experience in Entity Resolution/Matching Experience (deduplication, fuzzy matching, record linkage) is a must. Experience with bureau or 3rd Party B2B Data Experience (Use of D&B, CapIQ, Equifax, etc.) is a plus
- Strong proficiency in Python for data analysis, statistical modeling, and machine learning (e.g., pandas, scikit-learn, statsmodels, NumPy).
- Hands-on experience in developing fuzzy and ML-based entity matching models
- Candidate demonstrates technical expertise in various text distance matching algorithms (Jaccard, Levenshtein, JW, cosine etc)
- Strong Python (scikit-learn, pandas, numpy, rapidfuzz) and SQL, familiarity with common tech stacks preferred
- Strong understanding (and hands-on exp) of ML, ensemble models: parameter tuning, feature engineering, model perf. Analysis etc
- Excellent communication (Written, verbal, and listening/comprehending business requirements)
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