Role:Data Scientist
Location : Sanjose, CA
Rate : $45 – 55 /hr on C2C
Location : Sanjose, CA
Rate : $45 – 55 /hr on C2C
Skills : Applied Machine Learning in Python
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.
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.
Technical Experience: 2+ years of experience in Technical Python, AWS, and data analysis tools such as SQL and Pandas.
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.
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.
Regards,
Joshna
732-517-6270 / E: [email protected]
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