Forecasting Lead & Senior Data Scientist

Jobtailor; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor in San Francisco seeks a technical lead for the forecasting team to own strategy and implementation of time-series models forecasting key metrics like MAU, delivering accurate, interpretable forecasts at scale.

You will lead end-to-end modeling lifecycle, define architectures, partner with Engineering and BizOps, mentor at least two data scientists, and present insights to senior leadership.

Qualifications

• 8+ years of post-graduate academic and industry experience in time-series/forecasting with web-scale data.
• Bachelor’s degree in Computer Science or equivalent.
• Track record of deliverable, calibrated, explainable forecasting systems for decision-making.
• Strong background in time-series modeling and applied statistics/econometrics; MS/PhD preferred.
• Proficiency in Python and SQL; experience building reliable data pipelines.
• Business acumen with ownership mindset; ability to connect outputs to levers.
• Excellent communication for executive audiences; proven technical leadership.

Responsibilities

• Be the technical lead for the forecasting team.
• Own strategy and implementation of forecasting models for key metrics like MAU.
• Lead full modeling lifecycle end-to-end: framing, engineering, development, experimentation, deployment, monitoring, and explainability.
• Define architectures and standards; partner with Engineering to scale training/inference.
• Translate forecasts into decisions; present outputs and scenarios to VP-level leadership.
• Drive time-series impact beyond forecasts, including anomaly detection and causal analyses.
• Embed forecasting into business rhythms with BizOps/Finance and product teams.
• Mentor and develop at least two data scientists, raising technical quality and impact.

Skills

Time-series modeling

Python

SQL (Hive/Presto/Spark SQL)

Data pipelines (Airflow)

Executive communication

Technical leadership

Experimentation/backtesting

Forecasting explainability

Education

Bachelor's degree in CS or related field

MS/PhD preferred

Tools

Airflow

Hive/Presto/Spark SQL

Job description

Jobtailor in San Francisco seeks a technical lead for the forecasting team to own strategy and implementation of time-series models forecasting key metrics like MAU, delivering accurate, interpretable forecasts at scale.

You will lead end-to-end modeling lifecycle, define architectures, partner with Engineering and BizOps, mentor at least two data scientists, and present insights to senior leadership.