Hiring ! Data Scientist : San Jose, CA (Day 1 Onsite)

Dear Candidate,

 

Greetings from Tekgence . . .!!!!!!!!

 

 We have a long-term contract with our customer matching your skills. If you are interested, please send us your resume and rate. If you are not interested, please forward this position to your contacts. We sincerely appreciate it.

 

Job Title: Data Scientist

Location: San Jose, CA (Day 1 Onsite)

Duration :  Long Term Contract( C2C or W2)

Description

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.

 

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.

 

 

Thanks & Regards

 

Mounika L | Tekgence Inc  | Talent Acquisition Specialist

Linkedin       Vendor List

Cell: 469-699-0815 EXT-216 • Fax: 469-533-​5954  •  Mail ID: mounika.l@tekgence.com

11498 Luna Road • Suite 104 • Farmers Branch, TX • 75234 • www.tekgence.com