Data Scientist

Posted 9 Days Ago
2 Locations
In-Office
85K-90K Annually
Junior
Information Technology • Payments • Software
The Role
Lead development of data-driven solutions: clean and preprocess large structured and unstructured datasets, engineer features, build and deploy supervised/unsupervised ML and deep learning models, perform advanced statistical analysis, collaborate with data engineers on MLOps/CI-CD pipelines, and present actionable findings to technical and nontechnical stakeholders.
Summary Generated by Built In

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 Computer 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 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].

Skills Required

  • Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytics, or Data Science
  • 0 to 2 years of experience in data science or related field
  • Must be 18 years of age or older
  • Experience with SQL
  • Experience with Python
  • Experience with PyTorch
  • Experience with PySpark
  • Experience with R
  • Experience with Spark
  • Experience with Scala
  • Experience in a Cloud Native AWS environment
  • Experience building supervised and unsupervised ML models, including ensemble techniques
  • Experience with PCA, GLM, lasso/ridge regression, random forest, GBM, XGBoost, and Bayesian optimization
  • Experience with natural language processing (NLP) and deep neural networks/backpropagation
  • Knowledge of advanced statistical methods: sampling, hypothesis testing, attribution analysis, multivariate segmentation, recommender systems
  • Experience with MLOps, SDLC, CI/CD pipelines and Agile methodologies
  • Master's degree in Computer Science or Statistics
  • 1 year of experience in Data Science

Deluxe Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deluxe and has not been reviewed or approved by Deluxe.

  • Retirement Support The company provides a 401(k) with employer matching and an employee stock purchase plan, with access beginning quickly for many roles. The 401(k) match, paused during the pandemic, has been reinstated, signaling continued support for long‑term savings.
  • Leave & Time Off Breadth Flexible time off, paid holidays, and paid volunteer time are available, with benefits often starting on day one. Parental leave, adoption and surrogacy assistance, and family medical leave expand time‑off support across life stages.
  • Healthcare Strength Medical, dental, and vision coverage are provided with day‑one eligibility in many cases. Additional resources like disability coverage, an employee assistance program, and multi‑dimensional well‑being support bolster the core health offering.

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The Company
HQ: Minneapolis, MN
5,001 Employees
Year Founded: 1915

What We Do

We help enterprises, small businesses and financial institutions deepen customer relationships through trusted, technology-enabled solutions. Here at Deluxe, we help you unlock your potential so that your business successfully grows and thrives which positively impacts our communities all around. Our innovative payments, data and marketing solutions help you Accelerate Growth, Enable Payments and Empower your SMB Relationships. Accelerate Growth – With us, we propel your business forward with data-driven customer acquisition and multi-platform marketing toolkits; accelerate customer acquisition through our targeted data driven marketing campaigns and build brands through our customized, brand compliant web storefronts, promotional products, print services, and retail packaging services. Enable Payments – Our technology solutions enable you to send and process payments more easily. With us, you can optimize your order to cash processes with Lockbox, integrated receivables and bill pay, as well as improve your payer and payee experience with our secure and convenient check products and flexible digital payments. Empower Small Business Relationships – We help empower your small business with tools to start, run, grow and operate the business. We help increase revenue with promotional products, data driven and print marketing and retail packaging as well as support in managing income with our checks and forms, digital payments, and remote deposit capture. We also assist in protecting and branding businesses with logo design, trademark filings and websites and hosting services along with assisting in managing HR and Operations using our incorporation services, and payroll and human capital management. Unlock your potential: www.deluxe.com

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