Remote Data Scientist

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.