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
8+ 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 optimized 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 containerization and experience building and deploying data pipelines.
Eligible to work within the United States.
Benefits
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 careers site.
Principal Data Scientist developing and implementing AI and ML solutions to support product development at Micron. Collaborating with engineering teams and staying up - to - date with data science advancements.
Data Scientist developing predictive models and AI solutions at Micron Technology. Analyzing manufacturing data for optimization and performance enhancement.
Senior Data Scientist responsible for ML/DL model development and AI solution innovation. Join AtkinsRéalis in transforming global infrastructure and energy systems with AI and machine learning.
Data Scientist utilizing data to solve global challenges at Booz Allen. Engaging with clients and analyzing complex data through machine learning and AI methodologies.
Data Scientist at Booz Allen using data science to solve global challenges through data insights. Collaborating with clients and leading algorithm development in a data - rich environment.
Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
DSLDP Intern at Travelers developing data science solutions and collaborating with cross - function teams. Gain exposure through professional work experience and community outreach events.
Senior Product Analyst collaborating with teams to develop innovative products at Agência Estado. Key responsibilities include data analysis, market research, and facilitating product management processes.
Senior/Staff Data Scientist developing AI for commerce in the Middle East. Architecting systems for merchant and customer AI assistants and content generation.