Senior Applied AI/ML Associate — Consumer Modeling

Aumni; Columbus (OH); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Flexible working arrangements

Job summary

TwinThread is seeking an Applied AI ML Senior Associate in Columbus, OH, to contribute to the Consumer Business Modeling team. The role involves utilizing advanced quantitative techniques on large datasets, generating actionable insights, and mentoring junior team members. Ideal candidates should hold an advanced degree in relevant fields, have experience in machine learning, and possess strong communication skills. We offer competitive rewards and a supportive work environment that values diversity and inclusion.

Qualifications

• Advanced degree in a quantitative field required; Ph.D. is a plus.
• Outstanding communication skills to present findings and influence stakeholders.
• Experience in machine learning and statistical models to solve complex problems.
• Proficient in Python and able to work with large datasets.

Responsibilities

• Apply critical thinking and perform advanced analytics on business problems.
• Generate insights from data analysis and make actionable recommendations.
• Contribute to the full modeling lifecycle and communicate results effectively.
• Mentor junior team members and share innovative ideas.

Skills

Advanced statistical modeling skills

Machine learning development

Strong problem-solving abilities

Proficient in Python

Communication skills

Education

Ph.D. in Statistics, Data Science, Engineering or equivalent

Tools

Hadoop

Spark

Job description

TwinThread is seeking an Applied AI ML Senior Associate in Columbus, OH, to contribute to the Consumer Business Modeling team. The role involves utilizing advanced quantitative techniques on large datasets, generating actionable insights, and mentoring junior team members. Ideal candidates should hold an advanced degree in relevant fields, have experience in machine learning, and possess strong communication skills. We offer competitive rewards and a supportive work environment that values diversity and inclusion.