Experienced Full Stack Data Scientist – Energy and Automotive Business Insights

At arenaflex, we're on a mission to empower an information-driven business and create value from our information. Our Business Investigation group is at the forefront of this endeavor, providing insights about our business and its related processes, as well as our clients and products. We directly support business leaders from our retail stores and at the helm, and up to our chief group. We're seeking an experienced and skilled data scientist who can lead key cross-functional projects for both energy and automotive businesses using data science tools and techniques to drive business process automations and support sales and service strategies by leveraging our data.

What You'll Do

As a data scientist at arenaflex, you'll be responsible for:

• Contributing to all phases of data science projects: from interpreting a complex business issue into a data science problem to performing data analysis and modeling, and providing solutions to the business.
• Creating and maintaining complex data pipelines, supporting our group's central goal of democratizing information and empowering an information-driven association, collaborating with Information Experts, Data Specialists, AI (ML) Engineers, and Product Managers.
• Effectively communicating significant insights to all levels of the organization with varying levels of data science understanding and backgrounds.
• Collaborating closely with leadership, design, and other partners to deliver effective business insights.
• Applying various ML, advanced analysis, and representation methods to different datasets across the organization.

What You'll Bring

To succeed in this role, you'll need:

• A Master's degree or 2+ years of equivalent experience in a quantitative field (e.g., Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, Economics, or Engineering).
• Results-driven areas of expertise 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 analysis (or related) space. Upleveling the group's ML capabilities in at least one significant area (e.g., classification, predictive modeling, descriptive 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 tool, such as Tableau, Power BI, or Streamlit.
• Expertise 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 navigate uncertainty, taking an issue from 0 to 1.
• Excellent problem-solving, critical thinking, and project management skills, as well as the ability to quickly pivot in a different direction.
• Ability to manage and prioritize multiple tasks.

Anticipated Pay

The compensation package for this role includes:

• $80,000 - $258,000/yearly salary
• Bonus and stock awards
• Benefits

Pay offered may vary based on individualized factors, including market area, work-related information, skills, and experience. The complete compensation package for this position may also include additional components dependent on the position advertised. Details of support in these benefit plans will be provided if a candidate receives a job offer.

Ready for an Easy Start?

This is a low-stress role with great rewards. If you're reliable and willing to learn, we want you. Apply now! Apply To This Job Apply for this job