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Weekend Fintech Data Scientist Jobs (NOW HIRING)

BlackLine

$149K - $187K/yr

OverviewWe are looking for a Data Scientist to join our Product & Technology organization and play ... Experience working in data-intensive, product-driven environments, preferably in SaaS or FinTech

Kikoff

Marketing Data Scientist

San Francisco, CA · On-site

$160K - $200K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... and our Head of Marketing Data Science. Responsibilities * Own marketing measurement and ...

Current

Senior Data Scientist

New York, NY · On-site

$170K - $220K/yr

Senior Data Scientist About Current Current is a leading U ... S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest ...

Current

Senior Data Scientist

New York, NY

$170K - $220K/yr

Senior Data Scientist About Current Current is a leading U ... S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest ...

Rain

Data Scientist

New York, NY · On-site

$50K/yr

This role is for a high agency Data Scientist who ensures data is useful and adopted, not just ... Experience in fintech, payments, card programs, or financial infrastructure. * Python proficiency ...

Kikoff

Data Scientist Operations

San Francisco, CA · On-site

About the Role As a Operations Data Scientist at Kikoff, you work closely with cross functional ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Kikoff

Senior Data Scientist

San Francisco, CA

About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

CYNET SYSTEMS

Senior Data Scientist

Washington, DC · On-site

$65/hr

Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field. * 8+ ... Experience working in fintech, payments, banking, or fraud/risk environments. * Background in ...

Calliere

Product Data Scientist

Manhattan, NY · Hybrid

We're a fintech company focused on modernising how workers access and manage their pay, giving them ... Product Data Scientist \n \n \n \n \n \n We're hiring a Product Data Scientist to own the ...

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

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Weekend Fintech Data Scientist information

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How much do weekend fintech data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for weekend fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Weekend Fintech Data Scientist jobs? Cities with the most Weekend Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
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Weekend Fintech Data Scientist jobs near you
Data Scientist

Data Scientist

BlackLine

$149K - $187K/yr

Full-time

Re-posted 10 days ago

Job description

OverviewWe are looking for a Data Scientist  to join our Product & Technology organization and play a pivotal role in transforming data into actionable intelligence and forward-looking innovation. This role sits at the intersection of advanced analytics, machine learning, and emerging AI paradigms (LLMs and agentic systems). You will work closely with product and engineering leadership to unlock insights from complex, large-scale datasets, shape intelligent features, and enable the next generation of AI-powered solutions. This is an ideal role for a curious, self-driven problem solver who thrives on exploring data deeply, asking the right questions, and translating findings into meaningful business impact.ResponsibilitiesAdvanced Data Analysis & Insight Generation
  • Collaborate with Product & Technology leadership to analyze historical datasets, extracting insights across:
    • Longitudinal trends
    • Behavioral and transactional patterns
  • Translate complex data into clear, actionable insights that inform product strategy and decision-making
  • Answer targeted business questions related to customers, industry dynamics, and operational performance
Machine Learning & Feature Engineering
  • Guide ML teams in designing and refining feature engineering strategies
  • Apply strong ML fundamentals to ensure robust, scalable, and interpretable models
  • Partner with engineering teams to ensure effective data pipelines and model integration
AI & Agentic Systems Enablement
  • Collaborate with Agentic AI teams to design optimal context vectors and data representations for LLM-driven systems
  • Contribute to the development and evaluation of LLM-based and agentic workflows
  • Ensure data quality and structure support high-performance AI reasoning and retrieval
Innovation & Experimentation
  • Conduct data-driven, empirical analysis of new business ideas, assessing feasibility, relevance, and potential impact
  • Build prototypes, experiments, and analytical models to validate hypotheses quickly and rigorously
  • Continuously explore new techniques across AI, ML, and data science to drive innovation
Qualifications
  • Master's or Ph.D. in Mathematics, Computer Science, Statistics, or a closely related field
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer
  • Proven track record of deriving meaningful insights from large-scale historical data
  • Experience working in data-intensive, product-driven environments, preferably in SaaS or FinTech
  • Strong foundation in machine learning fundamentals and practical model development
  • Deep experience in feature engineering and data preparation techniques
  • Proficiency across data persistence paradigms:
    • SQL (relational databases)
    • NoSQL systems
    • Graph databases
  • Experience with modern data platforms:
    • Preferred: Snowflake and/or Google Cloud (BigQuery, Vertex AI, etc.)
    • Alternative: AWS-native data and ML stack
  • Working experience with Large Language Models (LLMs) and agentic AI systems
  • Understanding of context construction, embeddings, and retrieval strategies
  • Core Attributes
  • Highly innovative, curious, and self-motivated
  • Strong analytical and problem-solving mindset
  • Customer-focused, with the ability to align data insights to real-world business needs
  • Effective communicator, capable of translating technical findings into clear business narratives
Salary RangeUSD $149,000.00/Yr. - USD $187,000.00/Yr.Employee Referral Bonus Amount$1,000Employment Type: FULL_TIME

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