Jobs Companies Deluxe Data Scientist

Über diese Data Scientist Stelle bei Deluxe

Deluxe · Vor Ort · New York, NY, USA

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].

Bereit, sich bei Deluxe zu bewerben?
Bei Deluxe bewerben

Wie sich dieses Gehalt für Data Scientist vergleicht

Diese Stelle zahlt $87,500/yrunter der üblichen Spanne für Data Scientist Stellen.

$101,450 dem Median $170,271 $258,139

Übliche Spanne $130,500–$216,263/yr, aus 1,304 vergleichbaren Data Scientist Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Scientist ansehen →

Ähnliche Jobs

DI
Senior Data Scientist
Disney
⚡ Früh bewerben Glendale, CA, USA Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 4 Tg.
Cedar
Data Scientist 3 (Product Analytics)
Cedar
⚡ Früh bewerben USA Vor Ort $153,000–$180,000
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
ZO
Staff Data Scientist, Marketplace Analytics
Zocdoc
⚡ Früh bewerben New York, NY; USA Remote · standortgebunden $200,000–$270,000
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Reddit
Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
Reddit
⚡ Früh bewerben Remote - United States · standortgebunden $232,500–$325,500
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.
Reddit
Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
Reddit
⚡ Früh bewerben Toronto, Canada Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.
Reddit
Staff Data Scientist - Ads Measurement, Signals, Privacy
Reddit
⚡ Früh bewerben Remote - United States · standortgebunden $217,000–$303,900
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.
Roku
Senior Data Scientist
Roku
⚡ Früh bewerben San Jose, California Vor Ort $130,500–$191,250
● Neu 👁 Gesehen ✓ Beworben vor 10 Std.
Roku
Senior Data Scientist
Roku
⚡ Früh bewerben New York, New York Vor Ort $127,500–$170,400
● Neu 👁 Gesehen ✓ Beworben vor 10 Std.
Roku
Senior Research Data Scientist
Roku
⚡ Früh bewerben San Jose, California Vor Ort $330,000–$375,000
● Neu 👁 Gesehen ✓ Beworben vor 10 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Deluxe

Alle Jobs bei Deluxe ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos