Senior Data Scientist
Amplify
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $110,000 - $150,000 per year
Job Level
Senior
Tech Stack
AWSPythonPyTorchScikit-LearnSQL
About the role
- Develop sales forecasting excellence by building statistical and machine learning models to solve forecasting needs across business domains.
- Contribute to self-service forecasting data tools to enable real-time decision-making.
- Own the end-to-end machine learning lifecycle, including scoping, feature engineering, model training and testing, deployment, monitoring, and explainability.
- Drive strategic business partnership by translating technical model outputs into business-aligned recommendations and decision frameworks with forecast explainability and driver decomposition.
- Act as a leader in the data science team by mentoring junior data scientists, leading technical design reviews and learning sessions, and influencing roadmap and standards across the data science team.
Requirements
- 5+ years of experience in a data science role or a graduate degree in a science or other quantitative field (eg. Computer Science, Economics, Math, Physics, Statistics) with at least 3 years focused on sales forecasting or revenue analytics
- Expert knowledge of time series forecasting methods, e.g. ARIMA, Prophet, LSTM, etc.
- Expert user of either R or Python for data analysis tasks (data cleaning, manipulation, analysis).
- Expert user of SQL, especially its use in data analysis tasks.
- Expert in the training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost.
- Proven track record of development 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.
Benefits
- 401(k) plan
- competitive health insurance and mental health options
- basic life insurance
- paid time off
- parental leave
- access to best-in-class development programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelingtime series forecastingARIMAProphetLSTMdata analysisSQLPyTorchscikit-learn
Soft skills
communicationmentoringleadershipcross-functional collaborationself-direction