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Data Scientist

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Mexico

Offer summary

Qualifications:

Advanced degree (MS or PhD) in relevant field, Proficiency in Python or similar languages, Experience with ML frameworks (TensorFlow, PyTorch), Understanding of distributed computing (Spark/Scala), Hands-on experience with Databricks and MLFlow.

Key responsabilities:

Utilize machine learning, NLP, and big data techniques for insights
Manage data science platform ensuring availability for teams
Design and enhance scalable machine learning models
Develop containerized models for reusability
Oversee model pipelines, ensure security and compliance

Encora Inc. XLarge http://www.encora.com/

5001 - 10000 Employees

See more Encora Inc. offers

Job description

Important Information:

Years of Experience: 3+ years of experience in data science
Job Mode: Full-time
Work Mode: Remote

Job Summary:

The Data Scientist will be responsible for managing data science workflows and MLOps on the Databricks platform. This position focuses on model deployment, reusability, containerization, and ensuring orchestration using CI/CD pipelines. The role involves leveraging machine learning, NLP, and big data techniques to provide insights, while maintaining platform efficiency for downstream data science teams.

Responsibilities and Duties:

Utilize machine learning, NLP, and big data techniques to extract valuable insights from data.
Manage and maintain the data science platform, ensuring data availability for downstream teams.
Design and enhance machine learning models focusing on performance and scalability.
Develop re-deployable and containerized models for reusability.
Oversee and maintain model pipelines on the Databricks platform.
Ensure that all models adhere to security, compliance, and PII management requirements.
Follow Agile development practices, version control, and SDLC best practices.

Qualifications and Skills:

Advanced degree (MS or PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, or related fields.
Proficiency in Python or similar programming languages.
Experience with ML frameworks like TensorFlow or PyTorch.
Understanding of distributed computing with Spark/Scala.

Role-specific Requirements:

Hands-on experience with Databricks and MLFlow.
Proficient in Kubernetes and cloud platform engineering.
Expertise in containerization and orchestration (Airflow, CI/CD pipelines).
Knowledge of Agile methodologies, version control (Git), and SDLC practices.

Technologies:

Databricks
MLFlow
Kubernetes
Cloud platforms
TensorFlow/PyTorch
Spark/Scala
Kafka
Airflow
CI/CD pipelines

Skillset Competencies:

Machine learning model development and deployment.
Experience with MLOps, including CI/CD and containerization.
Strong understanding of data science techniques and tools.
Proven ability to work within Agile and version-controlled environments.

About Encora

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.