About MVP:
Headquartered in the heart of Austin, Texas, MVP is the emerging standard global brands use to value their sports and entertainment sponsorships and understand who engages with, or purchases, their products. Our clients-Fortune 500 brands, professional teams, global agencies, and media-use MVP as the standard for benchmarking sponsorship performance, understanding audiences, and deciding where to run and how to measure campaigns.
About the Role:
As a Data Scientist at MVP, you will be a part of the growing data science team developing solutions for problem solving client-related issues. You will also work on machine learning solutions for all platforms across the organization utilizing Python, R, Excel and other programs as needed. You will also be working with research and development to research and create forward-facing solutions to help drive client success. The Data Scientists will work directly with the data science, insights and engineering teams to develop and execute products, services, and solutions. This is a hands-on role that requires detailed statistical analyses as well as finding better ways to clean and structure data. For this job you will be involved in extensive research, development, and testing while carefully crafting the methodologies used.
This position requires both strong analytical skills and creative thinking. You must be self-motivated, have a drive to succeed while making MVP better, and most of all be curious about data. On the very first day you will be partnered with a mentor or team of mentors to help guide and transition you into our company. This is a fast-paced job and only individuals who love data and finding solutions will succeed.
This position is remote, with a strong preference for candidates based in the Greater Austin Area to support occasional in-person collaboration.
What You’ll Do:
- Utilize Python and R tools to develop ways to problem solve and streamline processes for data science
- Research and develop automated solutions for testing and further development
- Work with senior-level data scientists and engineers to assist in creation of enterprise solutions
- Work with our Insights and Client Services teams to streamline processes related to omni-channel valuation and other software and services
- Develop and implement data methodologies, data collection systems, and other strategies that optimize statistical efficiency and quality
- Build models, test data set validations, and clean data sets to ensure the most accurate reporting
- Ability to work in an autonomous, self-directed environment with a sense of urgency in solving client issues
- Ability to perform in a fast-paced, team, and process-building environment
- Personal interest in sports, entertainment, social media, esports, data, AI, and other relevant aspects of the tech business
What Skills & Experience We'd Like You To Have:
- Bachelor’s degree in Computer Science, Statistics, Mathematics or related field
- 2+ years of work experience in an analytical field
- Extensive data analytics project experience using Python, SQL, or R
- Strong experience with Excel with experience in BI tools as a great addition
- Experience in machine learning and data mining projects
- Experience in Databricks is a plus
- Located in the Greater Austin Area is preferred
What You Will Get Out Of It:
- A team of talented, hard-working colleagues
- The opportunity to invent new solutions, grow your career, and enhance your skill-set
- Competitive health insurance premiums (medical, dental & vision)
- Unlimited, flex vacation policy
- Competitive compensation
- The ability to learn and grow from technology innovators and disruptors
We are an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all our MVP employees.
**Please note: MVP is interviewing for a full-time W-2 employee; we are not considering C2C or C2H opportunities at this time. Applicants must complete all required pre-hire questions for their application to be reviewed; any questions unanswered will result in your application being denied. Thank you for your cooperation and for your interest in working for MVP. We can't wait to learn more about you!