Senior Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $138k - $158k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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Amplify

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

📚 Education

☁️ SaaS

💰 Series C - Amplify Education on 2023-05

Education • SaaS

Amplify is a K–12 educational technology and curriculum company that builds next-generation, research-aligned curricula, assessments, and instructional tools for literacy, math, and science. Their offerings include core curricula (Amplify CKLA, Amplify ELA, Amplify Science), assessment and intervention products (mCLASS, Boost Reading, Boost Math), and digital/math resources (Amplify Desmos Math), plus tutoring and teacher professional learning resources. Amplify emphasizes the Science of Reading, provides an integrated digital platform for districts and teachers, and serves thousands of school districts and millions of students and teachers worldwide.

📋 Description

• 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

• 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

• 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