Principal Data Scientist - Foundational Models
Company: Windfall Data, Inc.
Location: San Francisco
Posted on: October 19, 2024
Job Description:
At Windfall, we leverage data-driven insights to help
organizations achieve their goals, from non-profits boosting their
fundraising efforts to commercial companies improving their
marketing ROI. We are looking for a seasoned Principal Data
Scientist to play a pivotal role in developing and scaling our
foundational predictive models, such as household net worth and
investable assets. This is a highly impactful role where you will
influence the core of our data product offerings and collaborate
with cross-functional teams to maintain the highest standards of
model performance.We're on a mission to change how organizations
perceive and use people data - and we hold true to Windfall's core
values: (1) Be an excellent communicator; (2) Operate with
transparency; (3) Provide leverage, not optimization; (4) Make a
difference every day; and (5) Act with integrity and trust. If you
are a driven, detail-oriented data scientist with experience in
model risk management (OCC standards), who thrives on building and
deploying complex machine learning models at scale, we'd love to
hear from you.Responsibilities:
- Model Training & Deployment: Lead the training and production
deployment of Windfall's foundational models, focusing on
predicting key financial metrics like household net worth and
investable assets.
- Model Performance Analysis: Analyze and monitor the performance
of machine learning models, ensuring they meet business goals and
adhere to model risk management standards.
- Documentation & Communication: Document modeling processes with
a high level of rigor and transparency. Effectively communicate key
performance metrics and model insights to business stakeholders,
ensuring clarity and alignment.
- Model Risk Management: Ensure compliance with OCC Model Risk
Management standards, implementing processes for model validation,
testing, and monitoring.
- Data Handling: Work with large, disparate sources of data to
build robust and stable models that are resilient in real-world
applications.
- Cross-Functional Collaboration: Partner closely with engineers,
analysts, and business stakeholders to design and implement models
that deliver actionable insights and drive business
outcomes.Requirements:
- At least 8 years experience working directly with machine
learning models.
- Advanced proficiency in machine learning techniques and
statistical modeling.
- Expert in Python, with a strong track record of building,
deploying, and maintaining machine learning models at scale.
- Experience handling large, diverse datasets from multiple
sources.
- Impeccable attention to detail in both model development and
result reporting.
- Strong ability to communicate technical concepts and complex
model outputs clearly and effectively to non-technical
stakeholders.Preferred Qualifications:
- Advanced degree (Master's or PhD) in Data Science, Machine
Learning, Statistics, Computer Science, or related fields.
- Experience specifically with predictive models for financial
products (e.g., household net worth, investable assets, credit
scoring).
- Experience with OCC model risk management practices, and
working within highly regulated environments.
- Proven experience in putting large-scale machine learning
models into production environments.
- Understanding of financial regulations and compliance,
particularly around model risk management standards (e.g., OCC
regulations).
- Familiarity with MLOps tools and processes to monitor and
manage machine learning models in production.Additional
Information:The range displayed on each job posting reflects the
minimum and maximum target for new hire salaries for the position
across California. Within the range, individual pay is determined
by work location and additional factors, including job-related
skills, experience, and relevant education or training. We also
offer a comprehensive benefits package, which you can explore on
our site.California: Salary range is $225K - $350K which will
include a bonus componentAbout WindfallWindfall is a people
intelligence and AI company that gives go-to-market teams
actionable insights. By democratizing access to people data,
organizations can intelligently prioritize go-to-market resources
to drive greater business outcomes. Powered by best-in-class
machine learning and propensity modeling, Windfall activates
insights into workflows that engage the right people for each
respective organization. More than 850 data-driven organizations
use Windfall to power their business.We comply with CCPA. For more
information on how we comply, review our .
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Keywords: Windfall Data, Inc., Danville , Principal Data Scientist - Foundational Models, Other , San Francisco, California
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