Senior Data Scientist

Amplify

. Build statistical and machine learning models for sales forecasting across business domains .

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 building and deploying machine learning models for sales forecasting, with a strong focus on time series forecasting methods and proficiency in Python or R. Capable of mentoring junior data scientists and leading technical discussions while effectively communicating insights to non-technical stakeholders.

Highest-signal resume keywords

Machine Learning Lifecycle ManagementTime Series Forecasting MethodsPython or R for Data AnalysisSQL for Data AnalysisMentoring and Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSales ForecastingDemand ForecastingRevenue AnalyticsFeature EngineeringModel Training and TestingModel DeploymentModel MonitoringStatistical AnalysisData Analysis

Soft Skills

Excellent Communication SkillsCross-Functional CollaborationProject Management

Tools & Technologies

PyTorchScikit-learnTidymodelsXGBoostAWS SageMakerDatabricksSnowflakeDockerKubernetes

Industry Keywords

Data ScienceAnalyticsEdTechStatistical ModelingData Products

Tech Stack

Tools & technologies

AWSDockerKubernetesPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Build statistical and machine learning models for sales forecasting across business domains
Contribute to self-service analytics and data tools
Own the end-to-end machine learning lifecycle, including 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
Work on a scrum team with Analytics Engineers and Data Analysts
Ship data products end-to-end
Participate in decisions across the data stack, including source-data modeling and solutions for the sales team
Report to the Data Science Manager

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, e.g., ARIMA, Prophet, LSTM
Proficiency with SQL for data analysis tasks
Proficient in training and evaluating machine learning models using PyTorch, scikit-learn, tidymodels, and XGBoost
Proven track record of developing and implementing machine learning pipelines running in production environments like 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
Background in education or edtech is preferred
Experience working with Snowflake is preferred
Experience with container technologies such as Docker and Kubernetes is preferred

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