Demo

Data Scientist

Inficare
Wilmington, NC Full Time
POSTED ON 1/23/2025
AVAILABLE BEFORE 4/22/2025

Role : Data Scientist

Location : RTP , NC Hybrid model

Duration : : Long Term

Job Summary :

We are seeking a highly skilled and motivated Data Scientist to join our asset manager team. The Data Scientist will be responsible for developing, testing, and maintaining high-quality ML-based software applications using Python, Machine Learning libraries, Typescript, Web frameworks like React, and other relevant technologies. This role involves designing scalable solutions on AWS, supporting data-driven decision making, and integrating machine learning models with existing data pipelines.

Key Responsibilities :

  • ML Application Development : Develop, test, and maintain high-quality ML-based software applications using Python, Machine Learning libraries, Typescript, Web frameworks like React, and other relevant technologies.
  • Scalable Solutions : Design and implement scalable and efficient solutions on AWS, ensuring robust performance and security.
  • Data-Driven Decision Making : Support data-driven decision making by using Prefect for workflow orchestration and SQL, Snowflake for data warehousing.
  • Model Development : Develop and deploy machine learning models using Python and relevant libraries / frameworks.
  • Integration : Integrate machine learning solutions with existing data pipelines and DevOps practices.
  • Production Management : Manage production-level code and ensure the reliability of machine learning models in a live environment.
  • Containerization : Utilize Docker and Kubernetes for containerization and orchestration of applications.
  • Collaboration : Collaborate with cross-functional teams to capture requirements, design solutions, and ensure successful project delivery.
  • Support and Troubleshooting : Provide production support, troubleshoot issues, and implement fixes to ensure the smooth operation of software applications.
  • Code Reviews and Best Practices : Participate in code reviews, contribute to standard methodologies, and continuously improve the development process.
  • Industry Trends : Stay updated with the latest industry trends and technologies to ensure our solutions remain at the forefront of innovation.

Who You Are :

  • Passion for Data Science : You have a passion for data science and application development, thriving on innovation through the art of coding and storytelling.
  • Team Player : You are an excellent team player who collaborates effectively with both technical colleagues and business partners.
  • Hands-on Experience : You have hands-on experience with data science and machine learning techniques.
  • Production Management : You have experience managing production-level code and deploying applications using Docker, Kubernetes, and Prefect / Airflow.
  • Data Engineering and DevOps : You have good knowledge of data engineering and DevOps practices.
  • Version Control : Experience with Git for version control and collaborative development.
  • Proficient in SQL : Proficiency in SQL for data querying and manipulation.
  • Strong Communication Skills : You possess strong communication skills and are adept at working collaboratively with team members and stakeholders.
  • Problem-Solving Abilities : Exceptional problem-solving abilities and can thrive in a fast-paced environment.
  • AWS and Cloud Architecture : In-depth knowledge of AWS services and cloud architecture.
  • Workflow Orchestration : Proficient in using Prefect for workflow orchestration.
  • Data Warehousing : Experience with Snowflake for data warehousing.
  • Software Design Principles : Strong foundation in software design principles, algorithms, and data structures.
  • Minimum Qualifications :

  • Experience : 5 years of Data Science with proficiency in Python and experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Technical Experience : 2 years of experience in Technical Python, AWS, and data analysis tools such as SQL and Pandas.
  • Preferred Qualifications :

  • Education : Bachelor's degree in Computer Science, Engineering, or a related field.
  • Additional Languages : Experience with other programming languages and frameworks.
  • CI / CD and DevOps : Knowledge of CI / CD pipelines and DevOps practices.
  • Data Engineering : Knowledge of data engineering practices and tools.
  • Agile Methodologies : Familiarity with Agile methodologies and project management tools.
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