Build data-driven models and insights that power intelligent products and strategic decisions. Work with large-scale datasets, advanced analytics, and machine learning models in a fully remote, collaborative environment. Develop, test, and deploy machine learning and statistical models.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Role Overview:
Build data-driven models and insights that power intelligent products and strategic decisions. Work with large-scale datasets, advanced analytics, and machine learning models in a fully remote, collaborative environment.
Key Responsibilities:
- Develop, test, and deploy machine learning and statistical models.
- Analyze large, complex datasets to uncover trends and insights.
- Collaborate with engineering and product teams to productionize models.
- Build predictive, classification, and recommendation systems.
- Communicate findings clearly to technical and non-technical stakeholders.
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Required Skills & Experience:
- 4+ years of experience in data science or applied analytics.
- Strong proficiency in Python, SQL, and data science libraries.
- Experience with machine learning frameworks and model evaluation.
- Solid understanding of statistics, probability, and data modeling.
- Experience working in cloud environments.
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Preferred Skills:
- Experience with NLP, deep learning, or generative AI.
- Familiarity with MLOps, CI/CD, and model deployment workflows.
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