Senior Data Scientist F/T

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist F/T Overview Independently manages and manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering and segmentation) to draw insights from large data sets. Role. • Communicates with client counterparts to ensure customer needs are being addressed when designing data analysis and technical solutions. • Reviews and applies complex analytical techniques or tools to draw meaningful and insightful observations and trends from large/ complex data sets. • Develops sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques and methods. • Meets project deadlines for accountable deliverables and anticipates delays or foreseeable barriers to progress, escalating issues when necessary. • Conducts Proof-of-Value exercises with customers and contributes toward the research and development of new machine learning-powered solutions. • Works closely with Engineering to ensure our models are delivered into Production according to our specifications. • Takes a Product lens to work—thinking about the customers’ value as the primary goal of everything we do. About You • Position requires a Bachelor’s degree or foreign equivalent in Data Science, Statistics, Mathematics, Analytics, Information Technology, or related and three (3) years of progressively responsible experience in job offered or as a Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, or related. • Qualifying experience must include at least 3 years with each of the following: Unix CLI, Python, SQL, Machine learning experimentation orchestration frameworks (such as MLflow), Big data processing tools and systems (such as Hadoop, Spark, Databricks, Snowflake, etc.), Experience with building models related to fraud, scams, or money laundering detection, Payments ecosystem. • Telecommuting and/or working from home may be permissible pursuant to company policies. • To apply, please click the “Apply for job” link above, or send resume to recruiter Fitzroy Thomas, Fitzroy.Thomas@mastercard.com, @ Mastercard International Incorporated, 1 Lincoln Street, Boston, MA 02111. Ref MC78-2026. Incentives offered through MasterCard’s Employee Referral Program Apply to this position. For more information, please visit our Employee Referral Site or see employee handbook.…