**Experienced Full Stack Data Scientist – Business Analytics and Machine Learning**

At arenaflex, we're on a mission to revolutionize the way we approach business decision-making by harnessing the power of data-driven insights. Our Business Examination group is at the forefront of this movement, empowering an information-driven business and creating value from our data. As a key member of this team, you'll play a critical role in driving business process optimizations and supporting sales and service procedures by leveraging our data.

We're seeking an experienced and skilled data scientist who can lead cross-functional projects for both our energy and automotive businesses, utilizing data science tools and methods to drive business process automations and support sales and service procedures. If you're passionate about extracting insights from complex data sets and communicating your findings to stakeholders at all levels, we want to hear from you.

• *What You'll Do**

• Contribute to all phases of data science projects, from interpreting complex business issues into data science problems to performing data analysis and visualization, and providing solutions to the business.
• Create and maintain complex data pipelines, supporting our team's goal in democratizing data and empowering an information-driven organization, collaborating with Data Analysts, Data Engineers, AI (ML) Specialists, and Product Managers.
• Effectively communicate significant insights to all levels of the organization, varying levels of data science understanding and expertise.
• Work closely with leadership, design, and other partners to deliver significant business insights.
• Apply various ML, advanced analysis, and visualization techniques to diverse datasets across the organization.

• *What You'll Bring**

• 2+ years of experience in a quantitative field (e.g., Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Software Engineering, Artificial Intelligence, Finance, or Design).
• Results-oriented areas of strength with keenness and in-depth data science skills.
• Strong written, verbal, and interpersonal skills, with the ability to communicate effectively at all levels in the organization.
• A proven track record of extracting insights and building ML models, particularly in business analytics (or related) areas.
• Uplevel our team's ML capabilities in at least one significant area (e.g., estimation, predictive modeling, discriminant analysis, or Natural Language Processing (NLP)).
• Mastery in SQL and Python, particularly in standard data science libraries and frameworks like pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark, etc.
• Proficiency in at least one visualization tools, such as Tableau, Streamlit, etc.
• Expertise in data wrangling and analyzing massive and complex datasets, structured or unstructured.
• Ability to self-start and work independently in an unstructured environment, as well as explore (and bring design to) ambiguity, taking an issue from 0 to 1.
• Exceptional problem-solving, critical thinking, and project management skills, as well as the ability to quickly pivot and adapt.
• Ability to manage and prioritize multiple projects.

• *Why Join arenaflex?**

• Collaborative and dynamic work environment with a team of passionate and talented professionals.
• Opportunities for career growth and professional development, with a focus on innovation and continuous learning.
• Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
• Flexible work arrangements, including remote work options and flexible hours.
• Access to cutting-edge technology and tools, including the latest data science software and hardware.
• Collaborative and supportive culture, with a focus on work-life balance and employee well-being.

• *How to Apply**

If you're a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects you'd like to share. We can't wait to hear from you!

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