Data Scientist, ML & Causal Inference (Hybrid/Remote)

10xTalents; New York (NY); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A prominent data science consulting firm is seeking an Experienced Data Scientist to develop innovative data science solutions using machine learning and artificial intelligence. The successful candidate will work closely with senior executives on impactful projects to enhance risk management and financial performance, utilizing their expertise in Python and ML techniques. This role is hybrid, requiring presence in the Northeastern USA a few days per week.

Qualifications

• A PhD with 2+ years or a Master's with 4+ years of experience in relevant fields.
• 3+ years of hands-on experience in ML modeling and development.
• Proven ability to design, execute, and deploy experiments.

Responsibilities

• Develop advanced data science solutions using ML and AI.
• Collaborate on AI/ML projects for risk management.
• Mentor and provide technical guidance to junior data scientists.

Skills

Machine Learning

Artificial Intelligence

Statistical Analysis

Causal Inference

Python Programming

Education

PhD in Statistics, Computer Science, Engineering or related fields

Master's degree with 4+ years of relevant experience

Tools

PyTorch

Tensorflow

Job description

A prominent data science consulting firm is seeking an Experienced Data Scientist to develop innovative data science solutions using machine learning and artificial intelligence. The successful candidate will work closely with senior executives on impactful projects to enhance risk management and financial performance, utilizing their expertise in Python and ML techniques. This role is hybrid, requiring presence in the Northeastern USA a few days per week.