We have an immediate need for skilled data scientists, AI engineers, and Python developers. Selected candidates will be expected to take a short online coding test; please do not apply if you are not willing to take it.
Austin Artificial Intelligence (AAI) is a rapidly growing services firm that enables clients to solve real business problems with data engineering, data science, AI, machine learning, and customized professional services. Founded by executives with extensive expertise in quantitative analysis and consulting, AAI offers clients a unique hybrid approach to data science consulting by thoroughly understanding clients' business problems and deploying sophisticated, automated algorithms to solve them. Its partnership with The Silicon Partners, a 500-person consulting firm in Northern California, gives both firms a deep bench with which to serve any business at scale with tailored, end-to-end data-based solutions. AAI is venture-backed and serves clients in the financial, industrial, and technology industries.
We offer employees incredible benefits and flexibility in their working situations, including the choice between a fully remote or on-site workplace, an unlimited vacation policy, the choice to be 1099 contract or W2, flexible working hours, health insurance plans, and discretionary bonuses.
Requirements:
• This position requires US citizenship and native to excellent English communication skills
• 3 years to 10 years exp in professional software engineering, data science, quantitative analysis, or quant
finance role
• Bachelor's degree (a Master's or PhD preferred) in computer science, engineering, mathematics,
physics, or similar technical disciplines
• Strong knowledge of data structures, algorithms, and architectural patterns
• Experience in data science, quantitative analysis, statistical analysis, etc. with a preference
towards practical applications of those things as opposed to pure R&D
• Extensive experience with commercial SQL and NoSQL databases (data engineering and
optimization)
• Extensive experience with at least one leading cloud platform (AWS, Azure, Google Cloud,
etc)
• Nice to have: prior experience in the finance or investment industries