Senior Data Scientist, Mercury
Machine Learning
$203.1-238.9k
+ Equity. Salary for Canadian employees: $184,800-$217,400 (CAD)
Banking services for startups
Job no longer available
Banking services for startups
501-1000 employees
Job no longer available
$203.1-238.9k
+ Equity. Salary for Canadian employees: $184,800-$217,400 (CAD)
501-1000 employees
Company mission
To make scaling tech companies simpler with a personalized banking stack for startups, and power the next generation of companies that will shape the American industry.
Role
Who you are
- Have 4+ years of experience in developing and deploying machine learning models, preferably in a fintech or banking environment
- Be proficient in SQL, Python, and other ML-related technologies, with a robust understanding of data pipelines, databases, and data visualization tools
- Exhibit a proactive approach, capable of translating business questions into analytical problems, conducting the analysis autonomously, and effectively communicating findings to non-technical stakeholders
- Demonstrate a keen product sensibility, understanding how ML insights can be translated into actionable product enhancements
What the job involves
- We are currently seeking a Senior Data Scientist with expertise in Machine Learning, whose skills will be fundamental in building intelligent products that are not only reactive but proactive in fulfilling user needs
- In this role, you will spearhead initiatives to harness machine learning to strengthen risk management frameworks and enhance customer experiences
- As part of this role, you will be responsible for proactively deriving data insights and partnering with engineering, marketing, design, onboarding, and other product business teams to inform how we invest in and build Mercury’s future
- Your work will play an early role in establishing a data-informed culture across Mercury, enabling us to better understand events, react swiftly, and make intelligent investments
- Engineer, validate, and deploy machine learning models in production, focusing on personalizing user experiences and automating risk assessment processes to ensure our products continually adapt to meet user needs and mitigate potential risks
- Collaborate closely with product teams to integrate ML insights into our product ecosystem, driving the creation of more intuitive, responsive, and secure banking* solutions
- Apply ML algorithms for real-time fraud detection, credit risk assessment, market risk prediction, and regulatory compliance monitoring, ensuring a robust risk management framework
- Partner with engineering, design, and business teams to implement ML-driven recommendations, fostering a culture of data-informed decision-making and continuous product innovation
- Stay updated on the latest ML technologies and methodologies, iterate on existing models, and explore new avenues to enhance product intelligence and operational efficiency
- Educate cross-functional teams on ML best practices and advocate for the adoption of ML-driven approaches in product development and decision-making processes
Otta's take
Sam Franklin
CEO of Otta
Frustrated by the archaic, fee-laden banking services offered to entrepreneurs, the founders of Mercury set out to create a better solution. They envisioned a platform that was dynamic, tech-driven, and free from unnecessary fees.
Mercury delivers on this vision by automating business payment processes, offering FDIC-insured accounts, and providing full API access, empowering entrepreneurs with greater control and efficiency. This approach stands in stark contrast to traditional startup banking, which often burdens young businesses with high fees and limited functionality.
By prioritizing user experience and offering a free service tier, Mercury has attracted over 100,000 businesses and achieved a $1B valuation in 2021. As a rising unicorn in the stagnant world of startup banking, mercury is poised for continued growth, constantly adding new features and expanding its team to further disrupt the industry.
Insights
Some candidates hear
back within 2 weeks
50% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2021
$120m
SERIES B
Sep 2019
$20m
SERIES A
Total funding: $150.9m
Company benefits
- Health, dental, & vision
- 12+ weeks of paid parental leave
- $600 USD custom WFH equipment setup
- Unlimited vacation policy (with a mandatory minimum)
- Retirement matching up to 4% of base salary (401k/RRSP)
- Paid 6-week sabbatical after the 5-year mark
- Annual $1K USD learning & development budget
- Unlimited book budget
- Weekly $100 USD food budget
- Monthly $100 USD wellness budget
- Monthly $50 USD cellphone reimbursement
- Pet-friendly offices with free tea & lunch
Company values
- Think actively: Question processes. Give thoughtful feedback. Find the best way to do something instead of going by how it’s always been done
- Be super helpful: Practice intentionality and accountability. Go above and beyond to solve problems, and do it as a team
- Act with humility: Treat everyone with respect. Leave egos at the door
- Appreciate quality: Work with the best equipment. Avoid cutting corners. Take pride in crafting a lasting product
- Maximize efficiency: Minimize unnecessary meetings and bureaucracy. Work together to get the job done right
- Focus on product: Ask yourself how the product can be better today than it was yesterday
Company HQ
SoMa, San Francisco, CA
Articles
Founders
Jason Zhang
(COO)Studied Biology at Stanford before spending over 4 years at Heyzap in Business Development.
Immad Akhund
(CEO)Graduated from the University of Cambridge, then worked as a Software Developer at Aquila and Bloomberg. Also founded Clickpass and Heyzap, and was a Part-time Partner at Y Combinator.
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