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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