Experienced Full Stack Data Scientist – Business Analytics & Machine Learning

Are you ready to drive results and define an industry? Join arenaflex as a highly skilled and motivated Full Stack Data Scientist to contribute to the growth and success of our organization. This is a unique opportunity to work in a dynamic and innovative environment, leveraging your expertise in data science, machine learning, and business analytics to drive business process improvements and support sales and service procedures.

About arenaflex

arenaflex is a leading organization in the industry, committed to empowering an information-driven business and creating value from our data. Our Business Examination group is responsible for providing insights around our business and its related processes, as well as our customers and products. We directly support business leaders from our brick and mortar stores and at the top, and up to our executive team.

Job Summary

We are seeking an experienced and skilled Data Scientist who can lead key cross-functional projects for both energy and car business using data science tools and methods to drive business process automation and support sales and service procedures. As a Full Stack Data Scientist, you will be responsible for adding value to all phases of data science projects, from interpreting a complex business issue into a data science problem to performing data analysis and visualization, and providing solutions to the business.

Key Responsibilities

* Add value to all phases of data science projects: from interpreting a complex business issue into a data science problem to performing data analysis and visualization, and providing solutions to the business.

• Create and maintain complex data pipelines, supporting our group's goal in democratizing data and empowering an information-driven association, collaborating with Data Analysts, Data Engineers, AI (ML) Specialists, and Product Managers.
• Effectively communicate significant insights to all levels of the organization with varying levels of data science understanding and expertise.
• Collaborate closely with leadership, design, and other partners to deliver significant business insights.
• Apply various ML, advanced analysis, and visualization procedures to different datasets across the organization.
• Develop and maintain data-driven solutions to support business decisions and drive business outcomes.

What You'll Bring

* Bachelor's degree or higher in a quantitative field (e.g., Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, or Economics).

• 2+ years of experience in a similar role, with a strong background in data science, machine learning, and business analytics.
• Results-oriented mindset with expertise in data science tools and techniques.
• Strong written, verbal, and interpersonal skills, with the ability to communicate effectively at all levels of the organization.
• Proven track record of extracting insights and building ML models, particularly in business analytics (or related) areas.
• Uplevel group's ML capabilities in at least one significant area (e.g., estimation, predictive modeling, descriptive analysis, or Natural Language Processing (NLP)).
• Master in SQL and Python, particularly in standard data science libraries and frameworks like pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark, etc.
• Capability in at least one visualization tool, such as Tableau, Power BI, or D3.js.
• Master in data wrangling and analyzing large 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.
• Excellent problem-solving, critical thinking, and project management skills, as well as the ability to quickly pivot and adapt to changing priorities.
• Ability to manage and prioritize multiple projects and tasks.

What We Offer

* Competitive salary and benefits package.

• Opportunity to work with a dynamic and innovative team.
• Collaborative and supportive work environment.
• Professional development and growth opportunities.
• Flexible work arrangements, including remote work options.
• Access to cutting-edge technology and tools.
• Recognition and rewards for outstanding performance.

How to Apply

If you are a motivated and experienced professional ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application and look forward to discussing this opportunity with you further. Apply To This Job Apply for this job