Senior Associate, AI Data Scientist

TWG Global AI

$175K — $195K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience deploying machine learning models into production environments
  • Experience setting up monitoring systems to track ML model performance
  • Coursework or experience in data analysis, machine learning, or related fields
  • Proficiency in programming languages such as Python, R, or similar
  • Familiarity with data visualization tools and techniques
  • Strong analytical and problem-solving skills
  • Bachelor's or Master's Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Responsibilities

  • Assist in developing and deploying data models and algorithms for AI products
  • Conduct data analysis to extract insights for decision-making
  • Collaborate with team members to enhance model accuracy and efficiency
  • Collect, clean, and preprocess data to ensure quality and integrity
  • Maintain and update databases and data systems as necessary
  • Work with cross-functional teams to address business needs with data-driven insights
  • Communicate findings clearly to team members and stakeholders

Benefits

  • Onsite position in Santa Monica, CA
  • Relocation assistance available for the right candidate
  • Opportunity to engage in cutting-edge AI solutions and projects
  • Participation in a decentralized structure that empowers individual business units
  • Access to industry-leading data and AI vendor partnerships
  • Engagement in transformative projects that impact multiple sectors
Full Job Description
The Role

As a Senior Associate Data Scientist, you will learn and participate in the development and implementation of cutting-edge AI solutions to drive significant business impact, including cost optimization and revenue growth. Reporting to the Executive Director for AI Science, you will assist in the development of predictive modeling use cases, AI governance, and the ethical and responsible use of AI across the organization.

This role requires an understanding/course work in AI/ML techniques, strong leadership skills, and the ability to learn complex technical concepts, as well as business strategies. Some experience in deploying machine learning models into production environments and setting up monitoring systems to track their performance and ensure reliability is important.

Key Responsibilities:
  • Assist in the development and deployment of data models and algorithms for our AI products spanning financial services, insurance, etc.
  • Conduct data analysis to extract insights and support decision-making processes.
  • Collaborate with team members to refine models and improve their accuracy and efficiency.
  • Collect, clean, and preprocess data from various sources to ensure data quality and integrity.
  • Maintain and update databases and data systems as needed.
  • Work closely with cross-functional teams to understand business needs and provide data-driven insights.
  • Communicate findings and insights to team members and stakeholders in a clear and concise manner.

Requirements

Qualifications:
  • 3+ years experience deploying machine learning models into production environments
  • Prior experience setting up monitoring systems to track ML mode performance and measure reliability
  • Experience or coursework in data analysis, machine learning, or related areas.
  • Advanced learning/skills in programming languages such as Python, R, or similar.
  • Strong familiarity with data visualization tools and techniques.
  • Advanced analytical and problem-solving skills.
  • Eagerness to learn and adapt in a fast-paced environment.
  • Bachelor's degree and/or Masters Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Benefits

Position Location

This position is located onsite at our offices in Santa Monica, CA. Relocation assistance can be provided for the right candidate.

Compensation

The base pay will for this position is $175,000-195,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

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