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Home>Data Scientist || RTP, NC -Need only local – Hybrid model || Max rate $50-Hr on C2C

Data Scientist || RTP, NC -Need only local – Hybrid model || Max rate $50-Hr on C2C

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Job Title : Data Scientist
Location : RTP, NC -Need only local – Hybrid model–EST RESUMES ONLY

Duration : Long Term Contract

Job Description: 

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.

 


From:
RAHUL BALUSA,
FISEC GLOBAL
rahul@fisecglobal.net
Reply to:   rahul@fisecglobal.net