Senior Data Scientist, Blue Onion

$140-190k

SQL

AWS

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

BigQuery

Mid and Senior level

Remote from US

Automated financial subledger for retail & eCommerce

Be an early applicant

Automated financial subledger for retail & eCommerce

21-100 employees

B2BPaymentsFinancial ServicesSaaSAccountingAutomation

Be an early applicant

$140-190k

SQL

AWS

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

BigQuery

Mid and Senior level

Remote from US

21-100 employees

B2BPaymentsFinancial ServicesSaaSAccountingAutomation

Company mission

To empower finance and accounting teams so that they can work on impactful strategic initiatives.

Job

Company

Role

Who you are

3+ years of hands-on experience in data science, machine learning, or a related field, ideally in a fast-paced or startup environment
Proficiency in Python, R, and SQL
Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Familiarity with cloud platforms such as GCP (BigQuery preferred), AWS, or Azure
Experience with unstructured data, LLMs, and natural language processing techniques
A problem-solver who can translate messy, real-world challenges into elegant, scalable solutions
A collaborator who thrives in cross-functional teams and communicates effectively with technical and non-technical stakeholders
A future leader with a passion for building and growing a team

What the job involves

We’re seeking a Senior Data Scientist to help shape the future of our platform, working at the intersection of financial data, machine learning, and cutting-edge analytics.
In this role, you’ll drive meaningful insights, develop AI-powered solutions, and work closely with product and engineering to deliver scalable systems that solve real-world problems
AI Innovation:
Design, train, and deploy predictive models for use cases like anomaly detection, risk assessment, and trend forecasting
Develop applications using LLMs to parse and extract insights from unstructured data, streamlining financial workflows
Stay at the forefront of AI advancements to identify opportunities for implementing novel techniques in our platform
Data Science Leadership:
Build, optimize, and maintain data pipelines and architectures to ensure scalability and performance
Conduct in-depth analyses to uncover insights and deliver data-driven recommendations for strategic decisions
Collaborate with engineering and product teams to integrate models seamlessly into the platform
Team Growth: Mentor junior team members and establish best practices to foster a high-performing data science culture
Automation & Tools: Develop tools and frameworks that enhance the efficiency of internal teams and improve the customer experience

Our take

An effective finance and accounting team is essential to any good business. Blue Onion ensures that accounting teams are as effective as possible by helping them to trace and reconcile order transactions.

Blue Onion's founders boast an impressive amount of combined experience in both accounting and data science, which has helped to shape its technology significantly. Its software acts much like an ERP, but it operates at a fraction of the cost. This makes it especially attractive to SMBs and startups.

Blue Onion's primary focus is providing order-to-cash reconciliation for consumer companies. This has enabled it to build a loyal clientele of over 200 companies, and to create a strong foundation for future product releases.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Apr 2025

$10m

SERIES A

Aug 2020

$0.2m

SEED

Total funding: $10.2m

Company benefits

Remote work & flexible working hours
401(k) plan
Comprehensive health, dental, & vision insurance plans
Unlimited PTO, paid parental leave, & paid holidays
Team building events, offsite retreats, & more

Company HQ

Midtown East, New York, NY

Leadership

Lyndsey Buntin

(Co-Founder & CEO)

Previously worked as VP of Finance at Birchbox, and was CFO of Resonance Companies.

Charles McMillan

(Co-Founder & CTO)

Previously a Software Development Engineer at Microsoft, and a Senior Software Engineer at VTS and Spotify.

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