Data Scientist /Engineer

Requirements

• Collaborate with stakeholders to clarify problem statements, narrow down the analysis scope, and use findings to improve product outcomes.
• Create replicable data analyses using open-source technologies, summarize findings effectively, and communicate assumptions clearly.
• Build data pipelines to transition ad-hoc analyses into production-ready dashboards for fellow engineers' use.
• Develop, deploy, and maintain metrics, applications, and tools to empower engineers to access and utilize data insights independently.
• Write well-structured and thoroughly tested code, ensuring maintainability and scalability for future enhancements.
• Stay updated on relevant technologies and propose new ones for team adoption.
• What You’ll Bring
• Bachelor's or Master's degree in Computer Science or a related field.
• Proficiency in Python, SQL, Time Series databases, and data visualization creation.
• Time Series Forecasting, Regression
• Tableau, dash/plotly, seaborn/matplotlib, Grafana,Prometheus
• Tools/Frameworks: Snowflake, Bitbucket, Git, JIRA, TensorFlow, PyTorch, Scikit-Learn.GCP and InfluxDB
• Supervised & Unsupervised ML and AI
• Solid understanding of statistics.
• Experience writing software in a professional setting.
• Strong problem-solving abilities to refine problem statements and devise solutions with available data.
• Curiosity and motivation to tackle complex problems.