Design, develop, and deliver innovative ML/AI solutions for various data science projects.
Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM).
Gain a clear understanding of business operations and data needed to solve problem statements for specific projects.
Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners.
Present your approach to the solution and model output to various business partners.
Maintain a current knowledge of advanced ML/AI tools and techniques.
Work with different product teams and be an integral part of model deployment.
Need to build and maintain strong relationships with internal Mastercard partners.

Requirements

Having a passion for problem-solving using mathematics, statistics, machine learning, and artificial intelligence.
Ability to quickly pick up new tools and technologies.
Excellent oral and written communication skills.
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.
Hands-on experience with Python packages such as Gudhi, 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.
Strong problem-solving skills and ability to think creatively with data.
Self-motivated and capable of working independently but with a collaborative nature.
Proficient with data visualization and translating complex problems into actionable insights.

Benefits

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningartificial intelligencePythonRHadoopSparkMySQLanomaly detectionnatural language processingtime-series data

Soft Skills

problem-solvingcommunicationorganizationinterpersonal skillsdetail-orientedcreativityself-motivatedcollaborative