Find Data scientist Jobs in Carrickmines, D

Data Analytics Engineer (Payments)
Rippling —DUBLIN 2, County Dublin
- Part-time
- Computer Science
- Master's degree
- SQL
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Daon Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Research
Quick apply
12d
Data Scientist (Search & Recommendation)
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- Full-time
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- Doctoral degree
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EY —DUBLIN 2, County Dublin
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Grant Thornton —Dublin, County Dublin
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- Azure
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Grant Thornton —Dublin, County Dublin
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Softworks —Bray, County Wicklow
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Grant Thornton —Dublin, County Dublin
- Full-time
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HCLTech —Dublin, County Dublin
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Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
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Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Computer Science
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Senior QA Automation Engineer (AI-First)
Storyful —Dublin, County Dublin
- Full-time
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paypal —Dublin, County Dublin
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Senior Finance Data Scientist
Intercom —Dublin, County Dublin
- Hybrid work
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Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
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AI Project Manager (R-19384)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
- Annual leave
Quick apply
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
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Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
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Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
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AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply

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Data Analytics Engineer (Payments)

Rippling -
DUBLIN 2, County Dublin

Apply Now

Job details

Part-time
4 days ago

Qualifications

Computer Science
React
Slack
Tableau
Master's degree
SQL
C
Bachelor's degree
Accounting
Communication skills
Python
Analytics

Full job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

Job Description

Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Analytics Engineer - Payments (Internally titled: Data Scientist - Payments) to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.

This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling’s finances and essential for the correct functioning of product systems.

What you will do

Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business.
Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies.
React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools.
Develop and maintain comprehensive documentation of reconciliation processes and procedures.
Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting.
Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

What you will need

Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields.
4+ years of demonstrated experience in applying analytics engineering, analysis, modeling, and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
Extensive experience with SQL and its application to all phases of the data science development process (initial analysis and model development through deployment).
Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines.
Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences.
Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization.
Bonus points if you have experience with general accounting principles, the general ledger close process, and regulatory compliance.

Apply Now

Refine Your Search

data scientist jobs in carrickmines, d

Data Analytics Engineer (Payments)

Data Scientist (Computer Vision)

Data Scientist (Search & Recommendation)

AI & Data - AI Lab: Data Scientist - Agentic & Predictive Intelligence - Manager

Data & AI Consultant – Senior Consultant to Manager

Data & AI Consultant – Associate Director - ROI / Belfast

AI Team Lead

Data & AI Internal Product Team – Associate Director

Senior Data Science Specialist

Sr Applied Scientist

Machine Learning Engineer

Senior QA Automation Engineer (AI-First)

Sr Machine Learning Engineer

Senior Finance Data Scientist

Senior Software Engineer - Machine Learning (f/m/d)

AI Project Manager (R-19384)

Senior Staff Machine Learning Scientist, Recommendations

Principal Data Scientist

Senior Staff Machine Learning Scientist, Recommendations

AI Architect (R-18541)

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