Analytics β’ Machine Learning β’ Data Analysis β’ Predictive Analytics β’ Data Science
201 - 500 employees
Founded 2013
π€ Artificial Intelligence
π’ Enterprise
βοΈ SaaS
π° Series F on 2022-06
November 14
πΊπΈ United States β Remote
π΅ $230k - $295k / year
β° Full Time
π΄ Lead
π» Solutions Engineer
π¦ H1B Visa Sponsor
Analytics β’ Machine Learning β’ Data Analysis β’ Predictive Analytics β’ Data Science
201 - 500 employees
Founded 2013
π€ Artificial Intelligence
π’ Enterprise
βοΈ SaaS
π° Series F on 2022-06
β’ Who we are: At Domino Data Lab, we help data science teams accelerate research and deploy predictive models. β’ What we are building: Our team is dedicated to delivering transformative AI/ML solutions for financial services organizations. β’ What your impact will be: Shape our approach to financial services market and drive impactful solutions through client engagements. β’ In this role you will be: Develop industry-specific demos, pioneering integrations, crafting solution architectures, and gathering market insights.
β’ Strategic Thinking: Capable of identifying high-impact sales opportunities. β’ Relationship Building and Influence: Ability to build relationships with internal teams and client stakeholders. β’ Analytical Problem Solving: Able to dissect complex problems within financial IT ecosystems. β’ Proven Track Record in Solution Architecture for Financial Services: Successfully designed and implemented solutions for financial services. β’ Hands-on AI/ML Development Experience: Developed AI/ML products or statistical models. β’ Direct Client Engagement: Experience working directly with financial services clients. β’ Technical Sales Strategy Development: Developing technical sales strategies that drive engagement and revenue growth. β’ Financial Services Knowledge: Understanding of key financial services use cases and regulatory standards. β’ Programming Skills: Proficient in Python, R, SAS, or other languages for AI/ML models. β’ Technical Architecture Design: Designing architectures that integrate AI/ML platforms. β’ Communication and Presentation: Skilled at communicating complex technical concepts. β’ Integration and Deployment Tools: Proficiency with integration tools and relevant financial technology platforms.
β’ equity β’ company bonus or sales commissions/bonuses β’ 401(k) plan β’ medical, dental, and vision benefits β’ wellness stipends.
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