Analytics & Data Science Manager, Scale AI
Finance
$200-250k
+ Equity Grants for eligible roles
3+ days a week in office
Training and validation data for AI applications
Job no longer available
Training and validation data for AI applications
1001+ employees
Job no longer available
$200-250k
+ Equity Grants for eligible roles
3+ days a week in office
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- We're looking for someone who enjoys solving complex problems, building systems from the ground up, translating ambiguous business needs into scalable technical solutions, and developing the people around them
- 6+ years of experience in data analytics, analytics engineering, or data science role
- 1-3+ years of people management experience
- Expert knowledge of SQL and Python for data analysis and modeling
- Experience building internal tools, automation systems, or data products
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundational data models
- Experience partnering with engineering, and business stakeholders to automate manual workflows
- Strong problem-solving skills and the ability to operate independently in a fast-paced environment
- Excellent communication skills and experience working cross-functionally with business stakeholders
- Familiarity with finance or accounting terminology
- Experience with BI tools such as Tableau, Metabase, or Looker
- Familiarity with JavaScript and modern automation tooling is a plus but not required
What the job involves
- Scale's Finance Analytics and Data Science team is looking for an experienced data leader to manage a team of analysts and data engineers building internal tools and AI agents that automate workflows across finance and accounting
- In this role, you will lead a small team while staying technically hands-on, working closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy
- You will guide your team in designing data models, prototyping internal tools, and implementing agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform, and emerging AI tools
- Lead and grow a small team of analysts and engineers, providing technical mentorship, career development, and day-to-day guidance
- Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
- Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
- Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
- Collaborate with engineering teams in the development of internal tools to improve Scale’s financial system infrastructure
- Evangelize and support the adoption of AI-enabled automation across finance and accounting teams
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 99 more jobs at Scale AI