Data Scientist
hace 2 meses
Tláhuac, Ciudad de México
Encora
A tiempo completo
Key Responsibilities:
- Architect and enforce scalable AI/ML operational frameworks to support our machine learning and analytics initiatives, ensuring scalability, efficiency, and security across the enterprise.
- Build and deploy sophisticated machine learning models to unlock business opportunities and enhance predictive analytics capabilities.
- Design and implement robust data architectures to support machine learning and analytics initiatives, ensuring scalability, efficiency, and security.
- Develop and deploy advanced machine learning models to identify crosssell/upsell opportunities, forecast demand, and optimize inventory management.
- Analyze and integrate disparate marketplace data, identifying patterns and insights that can drive business strategy and operational improvements.
- Collaborate with crossfunctional teams to understand business needs, gather requirements, and translate them into technical specifications.
- Leverage Snowflake for data warehousing solutions, ensuring optimal performance, data integrity, and compliance with data governance standards.
- Explore and implement AWS services, including Sagemaker, to enhance machine learning capabilities and automate data processing workflows.
- Continuously monitor, evaluate, and improve the performance of data systems and machine learning models, incorporating feedback and emerging technologies.
- Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- At least 6 years of experience in related roles.
- Proven experience as a Data Architect, Machine Learning Engineer, or in a similar role, with a strong portfolio of successful projects.
- Expertise in machine learning algorithms, data modeling, and statistical analysis.
- Extensive experience in Data Architecture and Machine Learning, with a demonstrable focus on AI/ML operations and implementation of enterprisewide data frameworks.
- Proficient in using Snowflake and various AWS services, such as Sagemaker, for data warehousing and machine learning projects.
- Strong programming skills in Python, SQL, and other relevant languages/frameworks.
- Excellent analytical, problemsolving, and project management skills.
- Ability to work collaboratively in a team environment and communicate complex technical concepts to nontechnical stakeholders.
- Experience with implementing automated testing frameworks within the data ecosystem is a big plus.
- Fluent in English, with excellent verbal and written communication skills.
- Encora 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._
- At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality._