**Experienced Associate Data Scientist – Valuing and Income The board Choice Science (Remote Position Accessible)**

At arenaflex, we're on a mission to revolutionize the way we approach business challenges by harnessing the power of data-driven insights. As a key member of our Evaluating and Income The board (PRM) division, the Associate Data Scientist will play a pivotal role in driving business growth and innovation through cutting-edge data analysis, machine learning, and data science techniques.

• *About arenaflex**

arenaflex is a leading airline that has been serving the aviation industry for decades. With a strong commitment to innovation and customer satisfaction, we've established ourselves as a trusted partner in the industry. Our team is passionate about leveraging data science and analytics to drive business decisions and improve operational efficiency.

• *Job Summary**

We're seeking an experienced Associate Data Scientist to join our team and contribute to the development of advanced quantitative models and data-driven solutions. As a key member of our PRM division, you'll work closely with cross-functional teams to identify business challenges, design and implement data-driven solutions, and communicate insights to stakeholders. This is an exciting opportunity to join a dynamic team and make a meaningful impact on the business.

• *Key Responsibilities**

• Design, develop, and deploy advanced quantitative models and data-driven solutions using machine learning, statistical modeling, and data visualization techniques
• Collaborate with cross-functional teams to identify business challenges, design and implement data-driven solutions, and communicate insights to stakeholders
• Work with data engineers to design and implement data pipelines, data warehouses, and data lakes to support data-driven decision-making
• Develop and maintain code guidelines, participate in code reviews, and document work processes, models, and code
• Present findings and recommendations to stakeholders, including upper-level management
• Coach and collaborate with other colleagues to drive data science and analytics capabilities across the organization

• *Essential Qualifications**

• Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or engineering
• Master's degree in a related field, such as data science, business analytics, or operations research, is highly desirable
• Proven experience with SQL, Python, R, or other programming languages
• Experience with machine learning, statistical modeling, and data visualization techniques
• Strong analytical and problem-solving skills, with the ability to communicate complex ideas to non-technical stakeholders
• Experience working with large datasets and data warehouses
• Strong written and verbal communication skills, with the ability to present findings and recommendations to stakeholders

• *Preferred Qualifications**

• Experience working in a carrier valuing, yield-or income management, income examination, income frameworks, or similar role
• Experience with data engineering, data warehousing, and data lakes
• Experience with cloud-based data platforms, such as AWS or GCP
• Experience with agile development methodologies and version control systems, such as Git
• Certification in data science, machine learning, or a related field

• *Skills and Competencies**

• Strong analytical and problem-solving skills, with the ability to communicate complex ideas to non-technical stakeholders
• Experience working with large datasets and data warehouses
• Strong written and verbal communication skills, with the ability to present findings and recommendations to stakeholders
• Ability to work collaboratively with cross-functional teams to drive business outcomes
• Strong attention to detail and ability to meet deadlines
• Ability to adapt to changing priorities and requirements

• *Career Growth Opportunities and Learning Benefits**

• Opportunities for professional growth and development, including training and certification programs
• Collaborative and dynamic work environment, with a focus on innovation and experimentation
• Access to cutting-edge technologies and tools, including cloud-based data platforms and machine learning frameworks
• Opportunities to work on high-impact projects and contribute to business growth and innovation

• *Work Environment and Company Culture**

• Our office is located in Denver, CO, with occasional travel to other locations required
• We offer a flexible work environment, with the option to work remotely or in our office
• Our team is passionate about innovation, collaboration, and customer satisfaction
• We prioritize work-life balance and offer a range of benefits and perks to support our employees' well-being

• *Compensation, Perks, and Benefits**

• Competitive salary range of $80,000 - $120,000 per year, depending on experience
• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) matching program and employee stock purchase plan
• Flexible work arrangements, including remote work options and flexible hours
• Professional development opportunities, including training and certification programs
• Access to cutting-edge technologies and tools, including cloud-based data platforms and machine learning frameworks

• *How to Apply**

If you're a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you!