Über
In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turn-arounds times with higher degrees of accuracy.
You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform as well as emerging AI tools.
We're looking for someone who enjoys solving complex problems, building systems from the ground up, and translating ambiguous business needs into scalable technical solutions, with strong attention to detail and a rigorous approach towards validating results.
Key Responsibilities
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 t he 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
Ideally, you have:
5+ years of experience in
data analytics, analytics engineering, or data science roles
(supporting finance teams is a plus)
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
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is:
$200,000
—
$250,000 USD
PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
Know Your Rights poster
for additional information.
We comply with the United States Department of Labor's
Pay Transparency provision
.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our
privacy policy
for additional information.
Sprachkenntnisse
- English
Hinweis für Nutzer
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