We're utilizing modern technology to fresh concepts to make a difference for our clients. This is your opportunity to create an immediate impact on a growing team where innovation and exploration are encouraged.Responsible for leading the development of data-driven solutions to Charters business problems. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertiseQuerying, pre-processing, data cleaning, feature engineering and analyzing large amounts of structured and Unstructured data(terabytes/petabytes) across multiple data sources using structured query language(SQL), python, pytorch, pyspark, R, spark and scala. In a cloud native AWS environment.Deliver custom and commercial scalable solutions for internal and external customers. Combine business requirements and existing processes and data knowledge to create analytical solutions by building and deploying unsupervised and supervised machine learning and deep learning models. Including combining models using ensemble modeling techniques. Required to have knowledge and experience in unsupervised learning, principle component analysis(PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines(GBMs), XGBoost, baysian optimization, natural language processing(NLP) and deep neural networks/ back propagation.Use advance statistical concepts for sampling, descriptive statistics, hypothesis testing, data quality, performance testing, attribution analysis, multi variate segmentation and recommender systems.Collaborate with other data scientisits to solve demanding and complicated business problems by applying machine learning, deep learning to large data sets. Partner with Data Engineering on product development(proof of concept to commercial product), SDLC and CI/CD pipelines to process data, train models, test predictions within a MLOPS framework all at scale and be able to provide requirements for deployment. Must be able to work within an agile framework.Basic Qualifications:Education and Experience: Bachelors degree in C omputer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience.Preferred Qualifications:Education: Masters Degree in Computer Science or StatisticsExperience: 1 year in Data Science_Target Compensation RangeAnnual Salary: $80,000.00 - $90,000.00_Deluxe Corporation is an Equal Opportunity / Affirmative Action employer:All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law. EOE/Minorities/Females/Vet/DisabilityPlease view the electronic EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) which serves to inform you of your equal employment opportunity protections as part of the application process.Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to deluxecareers@deluxe.com .#J-18808-Ljbffr

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