Deluxe Logo

Deluxe

Data Scientist

Posted 2 Months Ago
In-Office
New York, NY, USA
85K-90K Annually
Junior
In-Office
New York, NY, USA
85K-90K Annually
Junior
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.
The summary above was generated by AI

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].

Similar Jobs

4 Days Ago
Hybrid
22-33 Hourly
Entry level
22-33 Hourly
Entry level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Supports data scientists with data exploration, cleaning, analysis, model development, validation, visualization, and prototypes. Uses Python and SQL while learning machine learning, generative AI, cloud data platforms, and production data science practices. Participates in reviews, documentation, presentations, and collaborative projects across multiple co-op terms, progressively increasing responsibility under mentorship.
Top Skills: AWSAws BedrockGenerative AiGitMachine LearningNumpyPandasPythonScikit-LearnSnowflakeSQLStreamlitTableau
5 Days Ago
Hybrid
2 Locations
155K-410K Annually
Expert/Leader
155K-410K Annually
Expert/Leader
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.
Top Skills: Artificial IntelligenceAWSC++Cloud PlatformsData AnalyticsData EngineeringData InfrastructureDatabricksGenerative AiGCPMachine LearningAzurePythonSnowflake
5 Days Ago
Hybrid
2 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads AI and GenAI data science workstreams for client engagements. Develops machine learning, deep learning, and NLP models; applies statistical and predictive modeling; designs scalable data science workflows and pipelines; evaluates model performance; communicates insights through visualizations and executive narratives; coaches teams; and supports responsible AI governance.
Top Skills: AIData ModelingData PipelinesData VisualizationDeep LearningGenaiMachine LearningNatural Language ProcessingPredictive ModelingStatistical Modeling

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account