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We are seeking a highly skilled Data Scientist to join our team at Encora Inc. as a Machine Learning Engineer. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models and data applications that drive business value.
Key Responsibilities- Design and develop machine learning models and data applications that interact with Generative AI
- Deploy modern data solutions that provide data access and insights to customers
- Conduct in-depth statistical analyses to identify trends, patterns, and anomalies in data
- Provide data-driven insights critical to customer business processes
- Produce artifacts that are utilized by various business areas within the company
- Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economy, Physics, or related areas
- Desire to combine theory and abilities to solve problems pragmatically, using Machine Learning for solving real-life problems
- Desire to work with product managers and software engineers, translating requirements into design and models into production code
- Knowledge in probability and statistical modeling
- Hands-on experience in statistical analysis, visualization, and in Machine Learning modeling using Python
- Knowledge in SQL and relational databases
- Experience with Jupyter notebooks, pandas, sklearn, and statsmodels
- Experience with AWS services (Lambda, S3, RDS, SQS, SNS)
- Experience with developing Generative AI applications
- Experience with GitLab or similar version control systems
- Familiarity with DevOps methodologies (CI/CD pipelines) for application deployment
- Familiarity with Infrastructure-as-Code for automating infrastructure (Cloudformation)
Encora Inc. is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.