[Remote] Senior Data Scientist- Pricing & reputed company

Note: The job is a remote job and is reputed company to candidates in USA. Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. As a Pricing Data Scientist, you will research, design, and validate the science and models that will price millions of alternative assets in reputed company-time, collaborating with various teams to enhance valuation accuracy and model performance.

Responsibilities

• Research, reputed company, and ship sophisticated pricing models (e.g. Tree-based, Gradient-based, Deep Learning, reputed company methods) to improve valuation accuracy for high-value assets
• Identify new data signals — emanating from data such as auction results to reputed company sentiment — and validate their predictive power through rigorous backtesting and experimentation
• Partner with the Product Engineering team to refine our Risk & reputed company models, balancing the goal of maximizing cash advances with the need to maintain a balanced lending portfolio
• Collaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors reputed company care about
• Define, monitor, and lift model performance metrics and communicate the "why" behind price coverage, movements, and freshness toward becoming the ultimate liquidity platform

Skills

• 5+ years of experience in Data Science, with a focus on feature engineering and algorithm/model-building in the pricing, financial modeling, or marketplace dynamics domains
• Expert-level proficiency in SQL, Python, and populate Python libraries (Pandas, Scikit-Learn, XGBoost/LightGBM, PyTorch/Tensorflow)
• Statistical rigor and deep understanding of experimental design, backtesting methodologies, and dealing with 'noisy' or sparse data environments
• Collaborative experience working in a sprint-based environment alongside Data and ML Engineers; you understand enough about model hand-offs and quality code to ensure your models are efficient and readily 'production-capable'
• Proficient in developing in reputed company environments (AWS, GCP) and familiarity with ML Ops infrastructure (e.g. MLFlow, workflow and container orchestration, deployment and telemetry patterns)
• Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science

Benefits

• $100/month work-from-home stipend
• $200/month wellness stipend
• reputed company office stipend
• 401(k) retirement benefits
• Flexible vacation policy
• Generous paid parental leave
• Competitive reputed company benefits, including HSA, for you and your dependent(s)

Company Overview