At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned Full Stack Data Scientist, you'll join our esteemed team of experts in GenAI development and deployment, driving innovation and excellence in our cutting-edge predictive models. With a strong focus on collaboration, creativity, and results-driven thinking, you'll play a pivotal role in shaping the future of arenaflex's data science capabilities.
**Job Summary:**
We're seeking an exceptional Full Stack Data Scientist to join our Information Sciences group, where you'll work closely with a talented team of data scientists, engineers, and product designers to develop and deploy GenAI-powered solutions. As a key member of our team, you'll be responsible for designing, building, and maintaining large-scale GenAI frameworks, collaborating with cross-functional teams to drive business outcomes, and staying up-to-date with the latest advancements in the field.
**Key Responsibilities:**
* Design and develop unified GenAI tools and services to assess and control GenAI model result quality across the organization
* Collaborate with product designers and engineers to plan and execute the scaling and adoption of GenAI features
* Develop at-scale GenAI framework structures, brief motor development, and ideal model choice procedures
* Create continuous monitoring and assessment tools to ensure the quality and performance of GenAI models
* Work with data scientists and engineers to develop and deploy GenAI-powered solutions that drive business outcomes
* Participate in code reviews, ensure adherence to best-practice programming standards, and maintain a high-quality, well-documented codebase
* Develop and present work to technical and non-technical peers, and lead instructional courses to share knowledge and expertise
* Build a deep understanding of business needs and objectives, and use this knowledge to inform the development of GenAI-powered solutions
**About You:**
* 3-year degree in quantitative disciplines (Science, Engineering, Mathematics, or Design) or equivalent experience
* 3 years of professional experience or equivalent industry experience
* Experience in planning and developing deep learning, AI, enhancement, and statistical models
* Strong programming skills in Python, with knowledge of SQL, Hadoop/Hive, Flash, and Scala
* Excellent working knowledge of numerical and statistical concepts, calculations, and computational complexity
* Strong analytical and problem-solving skills, with the ability to develop innovative and creative solutions to real-world business problems
* Excellent communication and presentation skills, with the ability to clearly tell data-driven stories through visualizations, diagrams, and narratives
* Self-motivated and results-driven, with the ability to meet tight deadlines and collaborate effectively across geographies
**Nice to Have:**
* MS or PhD in a quantitative field
* Experience with creating GenAI-based frameworks
* Demonstrated expertise in applied ML and deep learning systems
**What We Offer:**
* Competitive salary and benefits package
* Opportunities for professional growth and development in a dynamic and innovative environment
* Collaborative and supportive team culture
* Flexible work arrangements and remote work options
* Access to cutting-edge technologies and tools
* Opportunities to work on high-impact projects and contribute to the development of arenaflex's data science capabilities
**How to Apply:**
If you're a motivated and experienced Full Stack Data Scientist looking to join a dynamic and innovative team, we encourage you to apply today. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience.
**About arenaflex:**
arenaflex is a leading provider of innovative data-driven solutions, dedicated to helping organizations make informed decisions and drive business outcomes. With a strong focus on collaboration, creativity, and results-driven thinking, we're committed to delivering exceptional results and exceeding our customers' expectations. Join our team and be part of a dynamic and innovative environment that's shaping the future of data science.