Senior Data Scientist
PayPal
Data Scientist, AI
Kaplan Test Prep
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Develop and deploy advanced machine learning models: Design, implement, and evaluate machine learning models for tasks such as personalized learning recommendations, student performance prediction, content optimization, and educational resource analysis.
- Conduct in-depth data analysis: Explore and analyze large datasets from various sources (e.g., student learning platforms, assessment data, user behavior logs) to identify trends, patterns, and insights that inform product development and educational strategies.
- Design and execute experiments: Develop and implement A/B testing and other experimental designs to evaluate the effectiveness of educational interventions and product features.
- Communicate insights and recommendations: Effectively communicate complex data insights and recommendations to both technical and non-technical audiences through visualizations, presentations, and reports.
- Collaborate with cross-functional teams: Work closely with product managers, engineers, educators, and researchers to define project goals, develop data-driven solutions, and ensure successful implementation.
- Stay up-to-date with the latest advancements: Continuously research and evaluate new machine learning techniques, tools, and best practices relevant to the education technology domain.
- Contribute to the development of data infrastructure: Work with data engineers to ensure data quality, accessibility, and scalability.
- Work on building products and features that use Generative AI
Requirements
- Bachelor’s/Master's in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience as a Data Scientist, with a proven track record of developing and deploying machine learning models in a production environment.
- Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy) and LLMs ( ChatGPT, Gemini, Llama, Claude).
- Strong Proficiency in Transformer Architecture, Multimodality, RAG Pipelines and Prompt Engineering.
- Experience with statistical modeling, data mining, and machine learning algorithms.
- Experience in SQL and working with relational databases.
- Experience working with cloud platforms (e.g., AWS, GCP, Azure).
- Excellent communication and presentation skills, with the ability to translate complex technical concepts into clear and concise language.
- Strong problem-solving and analytical skills.
- Experience with MLOps workflow with tools such as Weights and Biases, MLFLow etc.
- Experience in integrating model monitoring in production.
- Passion for education and a desire to make a positive impact on student learning.
- Experience with educational data and learning analytics is a plus.
- Experience with Natural Language Processing and CNN Models is a plus.
Benefits
- Hybrid work model provides a flexible work/life balance
- Voluntary Provident Fund is an additional voluntary contribution scheme associated with the statutory Employee Provident Fund (EPF)
- Our Gift of Knowledge Program provides tuition assistance and substantial discounts for our employees and close family members
- Comprehensive health benefits new hire eligibility starts on day 1 of employment
- Generous Paid Time Off includes National holidays(10), Earned leaves(15), sick leave(12), plus one (1) volunteer day to participate and give back to our local communities
- Gratuity is applicable upon completion of 5 years as per the Gratuity Act
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata analysisA/B testingPythonscikit-learnTensorFlowPyTorchSQLMLOpsNatural Language Processing
Soft skills
communicationpresentationproblem-solvinganalyticalcollaboration