Applied ML & Forecasting Lead

Pinnacle Info Services; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Pinnacle Info Services is seeking a qualified candidate to lead forecasting initiatives, emphasizing statistics and time series over LLMs. You will work with Python, SQL, and Pandas/Polars to build and deploy forecasting models, baselines, and backtesting frameworks.

The role requires shipping models to production and maintaining a cohesive forecasting interface, including prediction intervals and abstention rules. Strong experience in time series is essential for driving robust forecasts.

Qualifications

• Shipped forecasting models to production, not only in notebooks.
• Strong in statistics and time series rather than LLM applications.
• Experience with Python, SQL, Pandas/Polars, experiment tracking.

Responsibilities

• Build and maintain forecasting components behind a unified interface.
• Develop seasonal baselines and statistical models including regularised linear models.
• Implement LightGBM panel models and walk-forward backtesting, including prediction intervals and abstention rules.

Skills

Time series analysis

Python

SQL

Pandas/Polars

Experiment tracking

Forecasting models

Tools

LightGBM

Backtesting

Job description

build and maintain the forecasting arms behind one common interface: seasonal baselines, statistical models,regularised linear models, LightGBM panel models,Own walk-forward backtesting, the sealed lockbox, prediction intervals, abstention rules

Required Candidate profile

shipped forecasting models to production, not only in notebooks, and whose strength is statistics and time series rather than LLM applications. trong Python, SQL, Pandas/Polars, experiment tracking