Data science only on W2 Tax Terms

Data science only on W2 Tax Terms

Posted 1 week ago by IT Gig LLC

Negotiable
Undetermined
Remote
Remote

Summary: The role focuses on developing and deploying machine learning models using Python and industry-standard libraries. It requires collaboration with cross-functional teams to address business problems through machine learning solutions. The position emphasizes continuous evaluation and improvement of model performance. This is a long-term remote opportunity.

Key Responsibilities:

  • Develop and deploy machine learning models using Python and industry-standard libraries
  • Implement and optimize algorithms for classification, regression, and predictive analytics
  • Apply strong knowledge of data structures to handle large-scale datasets efficiently
  • Collaborate with cross-functional teams to translate business problems into ML solutions
  • Continuously evaluate model performance and improve accuracy through tuning and experimentation

Key Skills:

  • Proficiency in Python and machine learning libraries
  • Strong understanding of algorithms for classification and regression
  • Experience with data structures and handling large datasets
  • Ability to collaborate with cross-functional teams
  • Skills in model performance evaluation and optimization

Salary (Rate): £45

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data science

Location: Remote

Long Term

Job Description:

Develop and deploy machine learning models using Python and industry-standard libraries
Implement and optimize algorithms for classification, regression, and predictive analytics
Apply strong knowledge of data structures to handle large-scale datasets efficiently
Collaborate with cross-functional teams to translate business problems into ML solutions
Continuously evaluate model performance and improve accuracy through tuning and experimentation

Develop and deploy machine learning models using Python and industry-standard libraries
* Implement and optimize algorithms for classification, regression, and predictive analytics
* Apply strong knowledge of data structures to handle large-scale datasets efficiently
* Collaborate with cross-functional teams to translate business problems into ML solutions
* Continuously evaluate model performance and improve accuracy through tuning and experimentation