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# Senior Data Scientist- Time Series Forecasting

- **Company:** Adapt Incorporated
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Regression Analysis, SQL Databases, Computational Statistics, Data Analytics
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8j7qa5kg

## About the Role

We are looking for a highly skilled Senior Data Scientist with strong hands-on expertise in Forecasting and/or Price Elasticity/Pricing Analytics. The ideal candidate should have proven experience in developing and implementing advanced statistical and machine learning models, solving complex business problems, and delivering data-driven analytical solutions with measurable business impact., * Strong hands-on Data Science experience with mandatory expertise in Forecasting and/or Price Elasticity/Pricing Analytics.

 * Proven experience delivering 2-3 relevant forecasting and/or pricing analytics projects.
 * Strong expertise in statistical modelling, machine learning, predictive analytics, and quantitative problem-solving.
 * Hands-on proficiency in Python, SQL, and relevant data science libraries.
 * Experience with forecasting methodologies, regression techniques, time-series analysis, and predictive modelling.
 * Understanding of price elasticity, price optimization, demand modelling, and revenue analytics.
 * Ability to independently handle complex analytical problems and deliver end-to-end data science solutions.
 * Strong analytical thinking, problem-solving, and communication skills.
 * Ability to demonstrate direct technical contributions to projects and their measurable business impact.

Preferred Experience

 * Experience in demand forecasting, demand planning, revenue management, price optimization, or commercial analytics.
 * Experience delivering enterprise-scale data science solutions.
 * Exposure to cloud-based analytics platforms and model deployment environments.
 * Experience working with cross-functional teams across business, product, engineering, and analytics.
 * Ability to convert complex analytical findings into actionable business recommendations.

## Description

The candidate will be responsible for executing end-to-end data science projects, translating business requirements into analytical solutions, and driving improvements in forecasting accuracy, revenue growth, and pricing optimization., * Design, develop, and implement end-to-end forecasting and pricing analytics solutions, from problem definition and data exploration to model deployment and monitoring.

 * Develop statistical and machine learning models for demand forecasting, sales prediction, price elasticity, and pricing optimization.
 * Apply advanced statistical techniques and predictive modelling to identify business trends, patterns, and actionable insights.
 * Analyse large and complex datasets to support demand planning, revenue forecasting, and data-driven business decisions.
 * Work closely with business stakeholders to understand requirements and translate them into effective analytical solutions.
 * Evaluate model performance, improve prediction accuracy, and optimize existing forecasting and pricing models.
 * Drive measurable business outcomes, including improved forecast accuracy, revenue growth, margin optimization, and operational efficiency.
 * Ensure analytical solutions are scalable, reliable, and aligned with business objectives., #Hiring #DataScience #Forecasting #PricingAnalytics #PriceElasticity #MachineLearning #Python #AnalyticsJobs