Data Scientist

Data ScientistAre you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of data professionals serving large clients across the U.S.The Data Scientist is responsible for leading the development of data-driven solutions for our clients. The role 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 expertise.Responsibilities Include:Querying, 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 (GBM's), XGBoost, Bayesian 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 scientists 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: Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience.Must be 18 years of age or olderPreferred Qualifications:Education: Masters Degree in Computer Science or StatisticsExperience: 1 year in Data ScienceCompensationThe compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be eligible for commission or an annual performance incentive plan. The base pay actually offered will vary depending on job-related knowledge, skills, location, experience and take into account internal equity.BenefitsIn line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Our approach considers our employees' whole selves, ensuring they can thrive both in and outside of work. Here are some of the benefits we offer, which may vary based on role, location, or hours worked:Healthcare (Medical, Dental, Vision)Paid Time Off, Volunteer Time Off, and HolidaysEmployer-Matched Retirement PlanEmployee Stock Purchase PlanShort-Term and Long-Term DisabilityInfertility Treatment, Adoption and Surrogacy AssistanceTuition ReimbursementThese benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families.Deluxe Corporation is an Equal Employment Opportunity 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.