45 applicants

Company

Original Job Post

Mastercard · 2 days ago

Lead Data Scientist

New York, NY

Full-time

Hybrid

Senior Level

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FinanceFinancial Services

Growth Opportunities

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Responsibilities

Lead, design, develop and deliver innovative ML/AI solutions for various data science projects.

Document and articulate data science projects following the CRISP-DM model.

Gain a clear understanding of business operations and data for problem-solving.

Pull, prepare, train, and test models using operational and transaction data.

Present solutions and model output to business partners.

Stay updated on advanced ML/AI tools and techniques.

Collaborate with partner teams and participate in model deployment.

Build and maintain relationships with internal Mastercard partners.

Qualification

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Data sciencePythonRHadoopSparkMysqlPredictive modelingBatch processingAnomaly detectionSupervised learningUnsupervised learningTime-series dataNatural language processingEntity resolutionNumpyScipyPandasScikit-learnTensorflowKerasNltkGensimBertNetworkxData visualizationProblem-solvingOrganizationInterpersonalDetail-orientedCreative thinking

Required

Masters or Ph.D. in a highly quantitative field (mathematics, statistics, computer science, or related fields)

Experience leading large data science projects, with a passion for solving business challenges through data science

Experience leading other data scientists from a technical perspective

Ability to quickly pick up new tools and technologies

Excellent oral and written communication skills

Experience in predictive modeling, data science, and analysis in both batch and streaming settings

Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility

Experience in anomaly detection, supervised/unsupervised learning, time-series data, and natural language processing. Experience in entity resolution a plus

Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc

Excellent organization and interpersonal skills

Very detail-oriented with an ability to think creatively

Excellent problem-solving skills

Self-motivated and capable of working independently but with a collaborative nature

Proficient with data visualization and translating complex problems into actionable insights