Datasite · 9 hours ago
Principal, Data Scientist (Finance)
United States
Full-time
Remote
Senior Level, Lead/Staff
$118K/yr - $207K/yr
8+ years expDatasite is a global center for facilitating economic value creation for companies. As a Principal Data Scientist, you will lead data science initiatives, solving complex business problems through advanced mathematical modeling and developing Data Intelligence Products.
FinTechSoftware
Responsibilities
Advanced Technical Execution (The Engine)
Elite Predictive Modeling: Lead the research, design, and deployment of sophisticated models for time-series revenue forecasting, unit economics, and profitability
Risk & Uncertainty Quantification: Develop advanced statistical tools to predict financial risk and operational volatility, providing the business with probabilistic guardrails
Algorithmic Innovation: Move beyond standard libraries to build custom ML solutions that address the specific nuances of our finance and project data
Experimental Design: Architect rigorous A/B and multivariate testing frameworks to measure the causal impact of business decisions and product iterations
Technical Architecture & Productization (The Bridge)
Model Orchestration: Partner with the Data Engineering team to design the "last mile" of ML deployment—ensuring your models run reliably within our Snowflake/dbt environment
Seamless Integration: Ensure model outputs are elegantly integrated into Power BI semantic models, turning complex statistical distributions into actionable business signals
Code Excellence: Set the bar for the Data Science "Playbook," establishing rigorous standards for reproducible research, version control, and model validation
Strategic & Technical Leadership (The Growth)
Discovery & R&D: Proactively identify opportunities for ML/AI to drive ROI, staying ahead of industry trends in LLMs, deep learning, and predictive analytics
Abstract Problem Solving: Take high-level business queries from the Director or C-suite and translate them into mathematically sound, executable project plans
The Intelligence Stack: Expert-level mastery of Python and SQL. Extensive experience deploying production-grade models within a cloud environment (Snowflake preferred)
Qualification
Required
8–10+ years of experience in Data Science, with a track record of delivering high-impact predictive models in a corporate or production environment
Proven IC Leadership: Experience as a staff or principal-level contributor who has successfully led large-scale technical projects from concept to deployment
Modern Stack Experience: Deep familiarity with the Snowflake + dbt + Power BI ecosystem is a significant advantage
Proven track record of building and deploying predictive models using Python and SQL that achieved high business adoption
Toolkit Expertise: Hands-on experience with ML orchestration tools and automated testing for model performance (e.g., monitoring for Data Drift and Model Decay)
Cloud Infrastructure: Experience with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker, or Databricks) and how they integrate with data warehouses like Snowflake
Advanced Education: PhD or Master's degree in a highly quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, or Economics)
Expert-level mastery of Python and SQL
Deep expertise in the Python Data Science stack (e.g., scikit-learn, XGBoost, LightGBM) and deep learning frameworks (e.g., PyTorch or TensorFlow)
Deep experience in time-series forecasting, supervised learning, and causal inference
Mastery of libraries dedicated to financial and demand forecasting, such as Prophet, statsmodels, or sktime
Experience with model lifecycle management tools (e.g., MLflow, Weights & Biases) and deploying models via containers (Docker/Kubernetes) or as serverless functions
Deep expertise in supervised/unsupervised learning, Bayesian statistics, time-series analysis, and causal inference
Working knowledge of integrating LLMs (via LangChain, OpenAI API, or Hugging Face) into business workflows for unstructured data analysis
Proficiency in using Snowflake as a feature store and dbt for feature engineering
Understanding of the levers of a P&L and how predictive modeling impacts revenue and margin
Exceptional ability to simplify complex 'black box' concepts for executive stakeholders
Benefits
Health insurance (medical, dental, vision)
A retirement savings plan
Paid time off
Other employee benefits
Company
Datasite
Datasite is a leading SaaS platform used by enterprises globally to execute complex, strategic projects.
1001-5000 employees
H1B Sponsorship
Datasite has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (6)
2023 (6)
2022 (6)
2021 (6)
Funding
Current Stage
Late StageTotal Funding
unknown2020-10-19Acquired
Leadership Team
Rusty Wiley
Chief Executive Officer
James Lehnhoff
Chief Technology Officer
Recent News
HongKong Business
2025-09-29
The European Financial Review
2025-09-02
2025-08-24
Company data provided by crunchbase