Data Scientist, Finance
Bangun model data untuk mengelola transaksi bisnis sebesar $200B
Sebagai Data Scientist di Ramp, Anda akan membangun model data untuk mengolah dan menampilkan data ke stakeholder dan sistem produksi. Anda akan bekerja sama dengan tim keuangan untuk mengembangkan wawasan keuangan dan mempengaruhi keputusan bisnis. Ramp mengautomasikan aliran pengeluaran bisnis sebesar $200B untuk lebih dari 70.000 perusahaan.
Kenapa Menarik?
Ramp menyediakan kesempatan untuk membangun sistem yang mempengaruhi cara perusahaan mengelola miliaran dolar.
Tanggung Jawab Utama
- Membangun model data untuk mengolah dan menampilkan data ke stakeholder dan sistem produksi
- Mendorong budaya desain eksperimental dan praktik terbaik dalam tim data
- Bekerja sama dengan tim keuangan untuk mengembangkan wawasan keuangan dan mempengaruhi keputusan bisnis
- Bekerja sama dengan tim data engineering untuk mengubah data mentah menjadi wawasan yang dapat diambil tindakan
Persyaratan
- Pernah bekerja minimal 3 tahun di bidang Data Science, Software Engineering, atau Finance
- Memiliki kemampuan AI yang kuat untuk dengan cepat mengadopsi keterampilan baru
- Memiliki pengalaman mengirimkan produk dan fitur berkualitas tinggi di skala besar
- Memiliki pengetahuan yang kuat tentang SQL dan menulis kueri SQL yang efisien
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Lihat Deskripsi Asli dari Ashby Job Boards
Deskripsi asli dari Ashby Job Boards
ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. WHAT YOU’LL DO - Full stack development, building models to consume, transform, and expose data to stakeholders and production systems - Drive a culture of experimental design, testing agenda, and best practices - Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way - Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions - Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action WHAT YOU NEED - Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance - Strong AI proficiency as a lever to quickly adopt new skills and subject matter - Track record of shipping high quality products and features at scale - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes - Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives) - Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development) - Experience partnering with finance teams or within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Konteks Gaji
Posisi Data & Analytics serupa di LokerDollar dibayar sekitar $135.1k/yr (kisaran $7.8k–1000k/yr, dari 199 listing aktif).
Perekrutan di Ramp
Ramp punya 63 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 26 Mei 2026 — di kategori Data & Analytics, Finance & Accounting, Engineering, Marketing.
- University Grad | Customer Experience Associate
- Software Engineer, Forward Deployed
- Director, Strategic Finance
Pemberi kerja tidak menyatakan keterbukaan lokasi — cek langsung lowongannya
Pertanyaan yang sering diajukan
- Apakah Data Scientist, Finance di Ramp bisa dikerjakan remote?
- Posisi ini berlokasi di Remote. Detail remote/onsite ada di deskripsi lowongan.
- Berapa gaji untuk Data Scientist, Finance di Ramp?
- Rentang gaji yang tercantum untuk posisi ini adalah $137.1k–297.3k/yr.
- Jenis pekerjaan apa Data Scientist, Finance di Ramp?
- Posisi ini adalah pekerjaan full time.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Ramp.
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