Director of Data Science, Altruist

• If you’re passionate about challenging the status quo and making a meaningful impact in the financial advice industry, we’d love to meet you!
• Experience - 5 years of experience working as Data Scientist with at least 2 years managing a high performing data science team with a focus on forecasting, statistical modeling, or time series analysis
• Deep knowledge of forecasting techniques: ARIMA, exponential smoothing, Prophet, Bayesian models, machine learning–based approaches, etc
• Familiarity with cloud data platforms (e.g., Snowflake) and workflow tools (e.g., Airflow, dbt)
• Education - Ideally looking for an advanced degree (Masters or PhD) in a data-driven field (Math, Statistics, Computer Science, Physics, etc)
• Technical aptitude - You’re technologically savvy and can easily get up to speed on modern tech stacks (Strong Python and SQL skills; experience with packages like statsmodels, scikit-learn, pmdarima, or prophet.)
• Ownership - The pride you put into every aspect of your work is unparalleled and undeniable
• Superb communication - Intentional dialogue is a superpower. You listen as well as you share your perspective with others
• Resilience - We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along the way
• Assurance - Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives
• Creative problem solving - Identifying the problem is simply not enough. You’re instinctually creative with your approach in finding solutions to roadblocks

Desirable

• We’re seeking a Director of Data Science to help us predict and plan for the future of Altruist’s business. In this role, you'll build and own the predictive infrastructure that supports strategic decision-making across the company
• You’ll collaborate with leaders in Finance, Product, Operations, and Sales to develop scalable models for revenue, customer behavior, and operational performance
• This is a hands-on, high-impact role where your models will directly inform planning, budgeting, staffing, and long-term strategy
• Manage a growing team of data analysts and data scientists responsible for build, deploying, and maintaining robust forecasting models (e.g., time series, hierarchical models, causal forecasting) across key business areas such as revenue, AUM growth, customer acquisition, and support volumes
• Partner with Finance and Strategy teams to deliver forecasts that support executive decision-making and scenario planning
• Develop methodologies for forecasting uncertainty, seasonality, and business-specific dynamics
• Create reusable forecasting frameworks and tools to be shared across departments
• Communicate forecasts, assumptions, and risks clearly to stakeholders—including executives—with visually compelling outputs
• Continuously monitor model performance and refine approaches based on real-world outcomes
• Contribute to the broader data science roadmap and mentor teammates in data science best practices