Position Details

Type Full-Time

Experience senior

Exp. Years 8+ years

Education Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience

Category Data & Analytics

About this role

This role involves leading the development of advanced forecasting models for financial metrics, utilizing machine learning and statistical techniques to support enterprise planning and decision-making.

Key Responsibilities

Design and implement forecasting models
Build production forecasting systems
Collaborate with finance and product teams
Mentor data scientists
Establish best practices in modeling

Technical Overview

The candidate will work with time-series and probabilistic models, leveraging Python, SQL, and large-scale data platforms like Snowflake, BigQuery, and Spark to build production-grade forecasting systems.

Ideal Candidate

The ideal candidate is a senior data scientist with extensive experience in time-series and probabilistic modeling, strong expertise in Python and SQL, and a background in financial or business forecasting. They should be capable of leading high-impact projects and mentoring junior team members.

Must-Have Skills

Time-series modelingPythonSQLMachine learningStatistical researchForecasting methodologiesModel evaluation techniquesDeep expertise in probabilistic modeling

Nice-to-Have Skills

Hierarchical modelsState-space modelsBayesian approachesMultivariate forecastingAutomationMonitoringDrift detectionLifecycle management

Tools & Platforms

SnowflakeBigQueryRedshiftSpark

Required Skills

Time-series modelingProbabilistic modelsBayesian approachesMachine learningStatistical researchPythonSQLData scienceForecasting methodologiesModel evaluation

Hard Skills

Time-series modelingProbabilistic modelsBayesian approachesMachine learningStatistical researchPythonSQLSnowflakeBigQueryRedshiftSpark

Soft Skills

CommunicationLeadershipCollaborationProblem-solvingMentoring

Industry & Role

Industry SaaS

Job Function Lead development of financial forecasting models using advanced statistical and machine learning techniques.

Role Subtype Data Scientist

Tech Domains Python, SQL, Spark, BigQuery, Redshift, Snowflake

Keywords for Your Resume

Time-series modelingProbabilistic modelsBayesian approachesMachine learningForecastingStatistical researchPythonSQLData scienceFinancial forecastingModel evaluationUncertainty quantificationScenario simulationDeep expertise in probabilistic modelingLarge-scale data processingBig dataForecasting methodologies

Deal Breakers

Less than 8 years of experience in data science, Lack of experience with time-series or probabilistic models, No proficiency in Python or SQL, No advanced degree in quantitative discipline

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Senior Data Scientist

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