Senior Data Scientist

Amplify

. Own sales forecasting and champion data-driven decision making across the sales organization .

Posted 9/23/2026full-timeRemote • United StatesSenior💰 $138,000 - $158,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in sales forecasting and data analysis, utilizing advanced statistical and machine learning models to drive data-driven decision making. Proficient in Python or R, SQL, and machine learning frameworks, with a strong ability to mentor and lead technical discussions.

Highest-signal resume keywords

Sales ForecastingMachine Learning LifecycleTime Series ForecastingPython or R ExpertiseSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Sales ForecastingDemand ForecastingRevenue AnalyticsTime Series ForecastingMachine Learning ModelsFeature EngineeringModel TrainingModel TestingData AnalysisStatistical Modeling

Soft Skills

Excellent CommunicationMentoringCross-Functional CollaborationProject Management

Tools & Technologies

AWS SageMakerDatabricksSnowflakePyTorchScikit-learnTidymodelsXGBoost

Industry Keywords

Data ScienceSelf-Service AnalyticsData ToolsScrum TeamData Stack

Tech Stack

Tools & technologies

AWSPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Own sales forecasting and champion data-driven decision making across the sales organization
Analyze sales trends
Build models predicting sales across product lines and regions over different time horizons
Turn forecasts into recommendations for revenue and planning decisions
Develop statistical and machine learning models across business domains
Contribute to self-service analytics and data tools
Own the end-to-end machine learning lifecycle: scoping, feature engineering, model training and testing, deployment, monitoring, and explainability
Translate model outputs into actionable recommendations for business leaders
Identify which drivers move the sales forecast and by how much
Mentor junior data scientists
Lead technical design reviews and learning sessions
Help shape the team’s roadmap and standards
Report to the Data Science Manager
Work on a scrum team with Analytics Engineers and Data Analysts, shipping data products end-to-end
Participate in decisions across the data stack, including source-data modeling and solutions for the sales team

Requirements

What you’ll need

5+ years of experience in a data science role, with 3+ years focused on sales forecasting, demand forecasting, or revenue analytics; a graduate degree in a science or other quantitative field may count toward 2 of the 5 years
Expert user of Python or R for data analysis tasks
Expert knowledge of time series forecasting methods, including ARIMA, Prophet, and LSTM
Proficiency with SQL for data analysis
Proficiency training and evaluating machine learning models using PyTorch, scikit-learn, tidymodels, and XGBoost
Proven track record developing and implementing machine learning pipelines in production environments such as AWS SageMaker, Databricks, or Snowflake
Demonstrated application of software development methodology and protocols, including version control and testing
Excellent communication skills in writing and conversation, especially with non-technical partners
Experience driving self-directed projects and working cross-functionally
Experience mentoring other data scientists or leading technical discussions
Must be legally authorized to work in the United States
Background check required if selected for employment
Ability to travel to headquarters in New York for in-person onboarding or periodically during employment as required

Benefits

Comp & perks

Bonus
401(k) plan
Competitive health insurance
Mental health options
Basic life insurance
Paid time off
Parental leave
Access to best-in-class development programs
Remote work
In-person onboarding or periodic travel to headquarters in New York as required