Senior Data Scientist at Amplify in Remote - United States

Job description

• Application
• We are hiring a Senior Data Scientist for our Sales Analytics team. You will own sales forecasting and champion data-driven decision making across our sales organization. Day-to-day, that means analyzing sales trends, building models that predict sales across product lines and regions over different time horizons, and turning those forecasts into recommendations for revenue and planning decisions.
• You will report to our Data Science Manager and work on a scrum team with Analytics Engineers and Data Analysts, shipping data products end-to-end. You will participate directly in decisions across the data stack, from planning how source data is modeled to innovating on solutions for the sales team.

Responsibilities

• Develop sales forecasting excellence: by building statistical and machine learning models that meet forecasting needs across business domains. Contribute to self-service analytics and data tools so that our business partners can get answers without waiting on the team.
• Own the end-to-end machine learning lifecycle: scoping, feature engineering, model training and testing, deployment, monitoring, and explainability.
• Drive strategic business partnerships: translate model outputs into actionable recommendations for business leaders, including which drivers move the sales forecast and by how much.
• Provide technical leadership: mentor junior data scientists, lead technical design reviews and learning sessions, and help shape the team's roadmap and standards.

Requirements

• 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 (e.g., Computer Science, Economics, Math, Physics, Statistics) may count toward 2 of the 5 years.
• Expert user of Python or R for data analysis tasks (data cleaning, manipulation, analysis).
• Expert knowledge of time series forecasting methods, e.g., ARIMA, Prophet, LSTM.
• Proficiency with SQL for data analysis tasks.
• Proficient in training and evaluating the performance of machine learning models using industry-standard libraries like 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.
• Experience working with Snowflake.
• Experience with container technologies, e.g., Docker and Kubernetes.
• Background in education or in edtech.

Skills

Required

• Python
• R
• SQL
• ARIMA
• Prophet
• LSTM
• PyTorch
• scikit-learn
• tidymodels
• XGBoost
• AWS SageMaker
• Databricks

Preferred

• Snowflake
• Docker
• Kubernetes
• Education
• Edtech

Benefits

• $138K – $158K • Offers Bonus
• Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs.