Website ElToroDotCom El, LLC.

Re-Inventing Tech in Louisville: The Silicon Valley of The South

El Toro’s software developers build the next-generation ad tech and analytics technologies that change how organizations explore and interact with their respective customers. Our products need to handle information at a massive scale and extend well beyond digital advertisement. We’re looking for developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, augmented reality, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to El Toro’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward.

El Toro provides business and consumer analytics and multi-channel activation points that empower organizations to be smarter about how they engage with audiences with measurable results. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services to better serve the world.

El Toro is and always will be an innovative technology company. We hire people with a broad set of technical skills who are ready to take on some of the industry’s greatest challenges. At El Toro, our developers not only revolutionize digital advertising, but they routinely work on massive scalability and storage solutions, large-scale applications, and entirely new platforms that disrupt markets.

Job Role & Responsibilities:

  • Conduct various statistical analyses and make recommendations to management based on research and analysis
  • Independently perform data gathering, analysis, mapping, reconciliation, and testing to verify the integrity of the data used for analysis
  • Thoroughly document technical aspects of the analysis for multiple audiences including internal and external validators and summarize findings for senior management and non-technical audiences
  • Work with subject matter experts from across the organization to scope projects and perform data analysis using advanced statistical techniques and developing visualizations to gain insight
  • Recommend and source opportunities to use data to develop new strategies and improve business performance
  • Participate in the design, development, and maintenance of ongoing metrics, reports, and analyses used to drive key business decisions
  • Perform market and peer research utilizing the various data sources available to the Company
  • Enhance the Company’s data with third-party sources of data as needed to perform analysis

Core Competencies:

  • Accountability
  • Initiative
  • Problem Solving
  • Communication
  • Teamwork
  • Coaching

Required Qualifications:

  • Degree in Mathematics, Statistics or Data Science
  • 3 or more years of experience in statistical analytics and/or predictive modeling
  • Demonstrated experience with SAS, Python, R, and/or SQL
  • Demonstrated experience with ML models in a variety of applications, and be able to discuss the pros and cons of those different applications.
  • Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
  • Experience in working with assignments that involve complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors
  • Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
  • Experience in creating reports, projections, models, and presentations to support business strategy and tactics  (We utilize Power BI, and Jupyter Notebooks)
  • Ability to make decisions on complex issues regarding technical approach for project components

Preferred Qualifications:

  • Masters of above in Mathematics/Statistics/Data Science
  • 4 or more years of experience in statistical analytics and/or predictive modeling
  • Experience performing data management, mining, and manipulation along with analytics

Nice-To-Have Skills & Experience:

  • Experience with Terraform, Docker, AWS, and/or basic dev ops/deployment tasks is a plus

Benefits & Perks:
We value our team members and want to provide them with an amazing benefits package with the following offerings:

  • Company-paid medical plan in addition to competitive dental and vision plans
  • Company-paid life insurance, short-term disability, and long-term disability
  • 401k plan with company contribution of 3% once qualified
  • 15 PTO Days per year, which increases to 20 PTO days after 3 years of full-time employment with us
  • 9 Paid Holidays for those that qualify
  • On-Site Gym & Showers for ALL employees
  • Pet Insurance that fits every pet and every pet parent
  • Opportunity for discounted education via Sullivan University
  • Great work-life balance
  • Welcoming, Safe, and Fun work environment!
  • Explosive growth allowing rapid career advancements

Our Culture:
El Toro is committed to actively fostering a culture of diversity, equity, and inclusion among its workforce and the broader community.  Our culture is defined through our E.P.I.I.C model  Excellence, Persistence, Integrity, Innovation, and Continued Improvement. You can read more about El Toro’s unique work experience here.

El Toro is an equal opportunity employer and values diversity at our Company. We do not discriminate on the basis of actual or perceived race, ethnicity, creed, color, religion, alienage or national origin, ancestry, citizenship status, language, age, disability, political affiliation, sex, socio-economic status, marital status, veteran status, sexual orientation, gender identity or expression, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.

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