Data Scientist II
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Role details
Tech stack
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Job description
Experteer Overview In this role, you will deliver scalable ML and GenAI solutions that drive measurable business impact. You’ll build predictive and LLM-powered models, productionize analytics with CI/CD and Airflow, and create Power BI dashboards to enable data-driven decisions. You’ll partner with stakeholders to identify high-value AI opportunities and mentor junior team members to raise overall capabilities. You’ll champion responsible AI and data governance while shaping AI adoption across the organization. Compensation / Benefits * Analyze and integrate large datasets from multiple sources in cloud environments * Design, build, and deploy ML models and GenAI-powered solutions * Develop GenAI use cases (text classification, embeddings, summarization, decision-support tools) * Productionize models with CI/CD and Airflow * Monitor model performance, maintain docs, and support governance and maintenance * Translate analytics into actionable insights for technical and non-technical audiences * Build Power BI dashboards to track KPIs and model outcomes * Partner with stakeholders to identify opportunities for advanced analytics and AI adoption * Apply data validation and quality checks to ensure data accuracy * Support ethical AI practices, privacy, and governance * Mentor junior data scientists and contribute to best practices Tasks * Strong proficiency in SQL and Python, or R * Hands-on experience developing and deploying ML models * Experience with Generative AI and LLMs (prompting, embeddings, NLP use cases) * Experience with CI/CD pipelines, Airflow, and workflow orchestration * Strong experience with Power BI or similar data visualization tools * Excellent analytical and problem-solving skills with attention to detail * Strong data intuition and ability to identify patterns and insights * Ability to communicate complex concepts to technical and non-technical audiences * Experience with Git and collaborative development * Ability to work independently in ambiguous environments * 3+ years in data science or related field * Proven experience deploying ML solutions in production * Experience with statistical analysis and predictive modeling * Exposure to GenAI/LLMs preferred Key requirements * medical, dental, vision * life and disability plans * 401(k) with matching * tuition assistance * Employee Stock Purchase Plan * paid time off and holidays
Requirements
advanced * Build Power BI dashboards to track KPIs and model outcomes * Partner with stakeholders to identify opportunities for advanced analytics and AI adoption * Apply data validation and quality checks to ensure data accuracy * Support ethical AI practices, privacy, and governance * Mentor junior data scientists and contribute to best practices Tasks * Strong proficiency in SQL and Python, or R * Hands-on experience developing and deploying ML models * Experience with Generative AI and LLMs (prompting, embeddings, NLP use cases) * Experience with CI/CD pipelines, Airflow, and workflow orchestration * Strong experience with Power BI or similar data visualization tools * Excellent analytical and problem-solving skills with attention to detail * Strong data intuition and ability to identify patterns and insights * Ability to communicate complex concepts to technical and non-technical audiences * Experience with Git and collaborative development * Ability to work independently in aaa detail environments * 3+ years in data science or related field * Proven experience deploying ML solutions in production * Experience with statistical analysis and predictive modeling * Exposure to GenAI/LLMs preferred Key requirements * medical, dental, vision * life and disability plans * 401(k) with matching * tuition assistance * Employee Stock Purchase Plan * paid time off and holidays
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