November 23
• Play a pivotal role in designing, implementing, automating, and maintaining models to impact revenue and customer retention. • Enhance customer experience and provide forecasting and predictive analysis based on products. • Responsible for designing robust, scalable, and resilient models and workflows to ensure data is readily available for stakeholders to implement change across the organization.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field, or relevant work experience. • 4+ years of Data Science experience, preferably working with fast-paced analytical data loads. • Experience working with Databricks or other data lakehouse technologies. • Experience working with various filesystems/storage types. • Familiarity with Delta Tables or other lakehouse table architectures (iceberg, delta, etc). • Familiarity with scripting languages for automation and configuration management. • Strong understanding of cloud computing concepts and hands-on experience with Azure and/or AWS. • Experience using Python and Pyspark for Data Science/ML workflows. • Excellent problem-solving and troubleshooting skills, with a keen attention to detail. • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members. • Driven to automate your processes, test continually, and document your work. • You’re not afraid of an open, candid, and respectful work environment. • Experience in working with a cross-functional, distributed team from concept through completion and future iterations, including agile methodologies. • Excellent time management skills.
Apply NowOctober 26
Data Scientist for blockchain attribution at TRM, ensuring quality data insights.