Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Deluxe Data Scientist in Atlanta, Georgia

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 Charter’s 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 expertise

  • 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, 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: Bachelor’s 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 Statistics

Experience: 1 year in Data Science

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Target Compensation Range

Annual Salary: $80,000.00 - $90,000.00

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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/Disability

Please 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 .

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