Senior Data Scientist
August 21
Description
• We are seeking a skilled and passionate Senior Data Scientist to join our dynamic team. • You will play a crucial role in leveraging data to drive business insights and strategies and work remotely from anywhere in Latin America. • As a Data Scientist, you will work closely with cross-functional teams to analyze, process, and model data, using various tools and technologies to create actionable insights. • You will be integral in advancing our AI and machine learning capabilities, enhancing our data analytics tech stack, and contributing to strategic decision-making processes.
Requirements
• Python: Essential for data analysis, machine learning, automation scripts, and statistical analysis. • Proficiency in Python libraries such as Pandas, NumPy, Scikit-Learn, and TensorFlow. • R: Useful for statistical analysis and data visualization. • Proficiency in R packages like ggplot2 and dplyr. • Adobe Analytics: Integral for tracking and analyzing marketing and web traffic data. • Understanding of Adobe Experience Cloud, reporting, and insights generation. • Amazon Web Services (AWS): Cloud infrastructure for data storage, processing, and various other computing needs. • Proficiency in services such as S3 (for storage), EC2 (for computing), Lambda (serverless functions), Redshift (data warehousing), and AWS Glue (data catalog and ETL). • Snowflake: Data warehouse solution utilized for storing and querying large datasets. • Leveraging Snowflake for efficient querying, data storage management, and integration with other tools. • Machine Learning: Essential for predictive analytics, data modeling, and AI integration. • Proficiency in tools such as SciKit-Learn, TensorFlow, PyTorch, and understanding of ML lifecycle management with tools like MLflow and Kubeflow. • Automation and AI Integration: Invest in automating routine tasks using AI and machine learning to yield better productivity and insights. • Data Governance and Security: Implement a robust framework using tools like Apache Ranger and AWS IAM for data security and governance. • Skill Development: Encourage continuous learning via courses and certifications in new technologies, e.g., AWS Certified Data Analytics, and Machine Learning Nanodegree by Udacity. • Nice to Have • Data Visualization Tools: Tableau, Power BI, D3.js • Big Data Technologies: Apache Spark, Hadoop Ecosystem (Hive, Pig, HDFS). • ETL Tools: Apache NiFi, Talend, Airflow. • Version Control Systems: Git. • APIs and Web Development: RESTful APIs, GraphQL, Flask, Django. • DevOps and CI/CD: Jenkins, GitLab CI, CircleCI, Docker, Kubernetes. • Statistical Analysis: MATLAB, SAS, Stata. • Real-Time Data Processing: Kafka, Flink.
Benefits
• A stable, long-term contract. • Continuous Training. • Private Health insurance stipend. • Flexible schedule. • Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world-class software for clients in the US and around the world.
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