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Staff Data Scientist at Windfall Data, Inc.

Windfall Data, Inc. No longer available

Job Description

At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models.

We are looking for a deeply technical Staff Data Scientist to join our Modeling & AI team. In this role, you will be the go to expert for our most complex modeling challenges. You will be a hands on keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production grade code that elevates the technical bar for the entire team.

Your work will be directly applied, as you collaborate closely with customers to develop a range of models-from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end to end ML solutions that deliver immense value to our clients.

Responsibilities
  • Architect and Own Modeling Solutions: You will lead the design and own the end to end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long term performance monitoring.
  • Synthesize Diverse Datasets: You will become an expert at blending first party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models.
  • Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team.
  • Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries.
  • Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non technical stakeholders.
Requirements
  • 7+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion.
  • Deep, expert level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering.
  • Mastery of Python and its data science ecosystem.
  • Expert level SQL skills, with the ability to write optimised queries against large scale datasets.
  • A strategic, product driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes.
  • Hands on experience with the engineering aspects of data science, including proficiency with Docker for containerisation and experience building and deploying data pipelines.
  • Eligible to work within the United States.
Preferred Qualifications
  • Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining.
  • Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow).
  • Experience working in marketing analytics, ad tech, fintech, or for a nonprofit organisation.
  • A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics.

$200,000 - $230,000 a year

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 careers site.

California: Salary range is $200,000 - $230,000 + Equity

About Windfall

Windfall is a people intelligence and AI company that gives go to market teams actionable insights. By democratising access to people data, organisations can intelligently prioritise go to market resources to drive greater business outcomes. Powered by best in class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organisation. More than 1,500 data driven organisations use Windfall to power their business. For more information, please visit .

We comply with CCPA. For more information on how we comply, review our privacy notice.

Typical senior pay: $156k for Data Scientists nationally

National salary averages
Expected senior-level
$156k
Entry
Mid
Senior
Expected
$64k Market range (10th-90th percentile) $194k

Top performers earn significantly more—skill and negotiation matter.

Senior roles pay 89% more than entry—experience is well rewarded.

Strong candidate leverage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Candidate-favored
Wage leverage
Moderate
Mobility
Good mobility

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+34%
10yr growth
New positions are being created faster than they're being filled.
A bachelor's degree is typically expected.
Typical: Bachelor's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024