Deluxe logo

Data Scientist

Deluxe

New York, NYFull-time$85–90K/yrPosted 4mo agoSeen in employer's feed 3 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

At a glance

Compensation
$85–90K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Deluxe is hiring a Data Scientist. Deluxe seeks a Data Scientist to lead client‑focused, data‑driven solutions, applying statistical and machine‑learning techniques to large, diverse datasets. The role involves cleaning, feature engineering, model development, and presenting actionable insights to varied audiences while collaborating within agile, cloud‑native environments.

Key focus areas include Query, clean, and engineer features from structured and unstructured data using SQL, Python, PyTorch, PySpark, R, and Scala., Deploy supervised, unsupervised and deep learning models using algorithms such as PCA, GLM, random forest and XGBoost., and Collaborate with data engineers and apply MLOps within an agile framework to develop, test and scale model deployments..

Successful candidates bring Bachelor's Degree In Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science, 0+ Years Experience, and Must Be 18+ Years Old. Important skills include SQL, Python, PyTorch, PySpark, R, and Apache Spark. Preferred (not required): Client Interaction.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonPyTorchPySparkRApache SparkScalaMachine LearningDeep LearningStatisticsAWSUnsupervised LearningPrinciple Component AnalysisGLMLasso/Ridge RegressionRandom ForestGradient Boosted MachinesXGBoostBaysian OptimizationNLPDeep Neural Networks/Back PropagationStatistical TechniquesMachine Learning AlgorithmsSamplingDescriptive StatisticsHypothesis TestingData QualityPerformance TestingAttribution AnalysisMulti Variate SegmentationRecommender SystemsSDLCCI/CD PipelinesMLOPS FrameworkAgile FrameworkAnalytical SkillsProgramming SkillsSynthesize Actionable FindingsPresent FindingsQueryingPre-ProcessingData CleaningFeature EngineeringAnalyzing Large Data SetsInterpreting ResultsBuilding and Deploying Machine Learning ModelsEnsemble Modeling TechniquesCollaborate With Data ScientistsPartner With Data EngineeringClient Interaction

Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in MathBachelor's Degree in StatisticsBachelor's Degree in Machine LearningBachelor's Degree in Analytic0 to 2 Years ExperienceMust Be 18+Master's Degree in Statistics1 Year in Data Science

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match
Tuition Assistance

Full job description

Why Join Us

Be part of an organization that’s driving change and consistently recognized as a top employer. At Deluxe, we know that great people build great companies—and we invest in you accordingly.

  • We’re proud to be recognized as a Great Place to Work and a top workplace for Moms, Dads, LGBTQ+ employees, and Veterans.

  • We offer competitive benefits starting on day one, designed to support your life both in and out of work.

  • 42% of our employees have stayed for 10+ years, citing our people, benefits, work-life balance, inclusive culture, and team support as key reasons why.

Are 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, 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 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 C omputer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience.

Must be 18 years of age or older

Preferred Qualifications:

Education: Masters Degree in Computer Science or Statistics

Experience: 1 year in Data Science

Compensation

The 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.

Benefits

In 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 Holidays

  • Employer-Matched Retirement Plan

  • Employee Stock Purchase Plan

  • Short-Term and Long-Term Disability

  • Infertility Treatment, Adoption and Surrogacy Assistance

  • Tuition Reimbursement

These 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.

Please view the electronic EEO is the Law Poster (http://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 [email protected] .

You've read the whole posting — now see how you match it.