Data Scientist 5 – Member Product
Netflix
Python
Data Scientist II
Hypergiant
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $92,800 - $130,000 per year
Job Level
JuniorMid-Level
Tech Stack
BigQueryCloudGoogle Cloud PlatformPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- Design, build, and continuously improve machine learning, deep learning, and optimization models to support predictive and prescriptive analytics.
- Explore, clean, and transform large and complex datasets to extract actionable insights and support modeling pipelines.
- Create and optimize SQL queries and data pipelines leveraging BigQuery for data preparation, feature engineering, and performance optimization.
- Develop, train, and evaluate models using Vertex AI, ensuring scalability, robustness, and maintainability in cloud-based deployments.
- Apply statistical, mathematical, and optimization techniques to solve complex business problems and improve model accuracy and efficiency.
- Contribute to reusable modeling components, shared libraries, and collaborative codebases for standardizing experimentation and deployment practices.
- Participate in the full model development lifecycle—including requirement gathering, model design, training, validation, deployment, and monitoring—within an agile, iterative framework.
- Collaborate with product owners, analysts, and engineers to define measurable objectives and align model outcomes with business needs.
- Communicate analytical findings and model results clearly through visualizations, dashboards, and presentations for both technical and non-technical stakeholders.
- Ensure model reliability, explainability, and ethical AI compliance through effective validation, peer review, and documentation.
- Stay current with emerging trends in machine learning, deep learning, generative AI, and MLOps to drive continuous innovation and technical excellence.
Requirements
- 2-5 years of professional data science experience.
- 2+ years of experience with GCP, specifically BigQuery and Vertex AI (required).
- Strong proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch, or similar)
- Knowledge of Spark Framework
- Solid understanding of machine learning, deep learning, and optimization algorithms
- Experience building, training, and deploying models using modern ML frameworks and integrating them into production environments.
- Proficiency in SQL and experience working with structured, semi-structured, and unstructured data.
- Familiarity with version control (Git), CI/CD pipelines, and collaborative agile workflows.
- Strong analytical thinking, problem-solving, and communication skills.
- Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
Benefits
- Unlimited Paid Time Off
- 14 Paid Company Holidays
- Paid Maternity/Paternity Leave
- Flexible Work Environment with Remote Options
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Complimentary Life Insurance
- Personal & Professional Development Reimbursement
- Short Term & Long Term Disability Insurance
- 401k with Matching
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningoptimization modelsSQLBigQueryVertex AIPythonSpark Frameworkdata pipelinesstatistical techniques
Soft skills
analytical thinkingproblem-solvingcommunicationcollaborationagile methodologiescreativityadaptabilityattention to detailcritical thinkingpresentation skills
