Associate Data Scientist

Remote • Posted 3 days ago • Updated 2 hours ago
Full Time
Remote
USD $95,000.00 - 110,000.00 per year
Fitment

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Job Details

Skills

  • Science
  • Teaching
  • Curriculum
  • Cross-functional Team
  • Product Strategy
  • Expect
  • Reporting
  • Product Design
  • Customer Experience
  • Collaboration
  • Workflow
  • Statistical Models
  • Evaluation
  • Data Science
  • Computer Science
  • Economics
  • Mathematics
  • Physics
  • Statistics
  • Python
  • Data Cleansing
  • SQL
  • Data Analysis
  • Regression Analysis
  • Software Development Methodology
  • Version Control
  • Testing
  • Research
  • Analytical Skill
  • Communication
  • Writing
  • Training
  • scikit-learn
  • XGBoost
  • Artificial Intelligence
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Snow Flake Schema
  • Educational Technology
  • Recruiting
  • Documentation
  • Screening

Summary

About Amplify

Amplify helps teachers bring delight and rigor to students every day. We have become a leader in K-12 literacy, biliteracy, math, and science by building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents. For more information, visit Amplify.com.

Job Description Summary:

As an Associate Data Scientist at Amplify, you will join a talented, cross-functional team dedicated to seeking empirical answers to crucial questions about Amplify's products. You'll play an active role in using data to inform product strategy, product efficacy, and drive business outcomes. In doing so, you will directly influence the learning journeys of millions of students, helping to ensure our solutions provide the rigor and delight educators expect.

Reporting to our Senior Data Science Manager, this is an exciting opportunity for a curious, early-career data scientist to tackle real-world education problems. We are deeply committed to providing a collaborative environment where you'll be encouraged to ask questions, experiment, and grow your skillset alongside a team that is passionate about scaling the impact of educational technology.

Essential Responsibilities:

As an Associate Data Scientist in the Product Spoke, you will analyze large-scale educational data to derive actionable insights that drive product design and improve customer experience. You will collaborate with cross-functional teams to tackle complex questions, leveraging both traditional analytical methods and emerging AI-driven workflows.

Key responsibilities include:
  • Partner with product managers, researchers, engineers, and content developers to answer complex business and educational questions.
  • Develop, evaluate, and maintain statistical models and AI-enabled analytical solutions..
  • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Leverage AI-powered tools to improve exploratory analysis, feature engineering, and model development while maintaining high standards for code quality and evaluation.

Required Qualifications:
  • Bachelor's degree in a quantitative field (e,g., Data Science, AI Engineering, Computer Science, Economics, Math, Physics, Statistics) or equivalent experience.
  • Proficient in using Python for data analysis tasks (data cleaning, manipulation, analysis).
  • Experience in SQL for data analysis.
  • Experience applying foundational statistical methods, such as regression and hypothesis testing.
  • Experience applying AI solutions to a variety of problem domains.
  • Experience with software development methodology and protocols, including version control and testing.
  • Demonstrated ability to independently research, troubleshoot, and solve open-ended analytical problems.
  • Excellent communication skills in writing and conversation, especially with non-technical partners.
  • Comfortable working independently and collaboratively in a team environment.

Preferred Qualifications:
  • Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like scikit-learn, xGBoost.
  • Familiarity with AI/ML frameworks and libraries such as PyTorch, TensorFlow, or Hugging Face.
  • Experience building or fine-tuning applications using Generative AI or Large Language Models.
  • Experience working with Snowflake.
  • Background in education or educational technology (EdTech)

Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.

Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email

If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.

Amplify is an E-Verify participant.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10110362
  • Position Id: 936454b7084c9f44130ecc0de2f822c1
  • Posted 3 days ago
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