Data Scientist

1 week ago

Austin, United States MVP Group Inc Full time $75,000 - $85,000
Job DescriptionJob DescriptionAbout MVP:

Headquartered in the heart of Austin, Texas, MVP is the best-in-class SaaS measurement platform that provides omnichannel media and sponsorship valuation. We offer a built-to-scale software for our clients - Fortune 1,000 brands, professional sports, global agencies and media - to accurately quantify the value of their partnerships, sponsorships, and activations.

About the Role:

As a full-time Data Scientist at MVP, you will be a part of the growing data science team developing solutions to reshape the way sponsorship marketing is measured, valued, and reported to our customers. The Data Scientist role is focused on providing creative and forward-thinking machine learning solutions. While the data science team will be responsible for end-to-end solutions, from ideation and research to development and deployment in platform, your primary focus will be on testing hypotheses, data sleuthing, and building innovative proof of concepts. You will develop data pipelines, automated solutions, and machine learning algorithms. You will collaborate with the Product, Engineering, and Customer Success teams to develop and execute impactful solutions for our customers.

What You WIll Do:

  • Work with our Customer Success team to streamline processes related to valuation and other data and reporting services to provide actionable data to our customers

  • Collaborate with other data scientists, ML engineers, and software engineers to assist in creation of enterprise solutions in a SaaS software distribution environment

  • Research and develop automated solutions for testing and further development

  • Develop and implement data methodologies, data collection systems, and other strategies that optimize efficiency and quality

  • Contribute to algorithm selection and optimization

  • Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques

  • Innovate by learning about and adapting to new techniques and procedures within machine learning, computer vision, etc. Experiment with these techniques for possible inclusion into the production environment.

What Experience We’d Like You To Have:

  • Bachelor’s degree in Computer Science, Statistics, Mathematics or related field

  • 2+ years of combined experience in machine learning, statistics, data modeling, programming, or applied research in related fields outside of academia

  • Proficiency and experience using Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data

  • Strong SQL, database, and ETL skills required including cleaning and managing data

  • Experience working with predictive and statistical modeling, machine learning and experience in all phases of the modeling pipeline

  • Ability to work collaboratively with both data scientists and backend engineers

  • Familiarity with AWS preferred

What You’ll Get:

  • Competitive compensation

  • Unlimited paid time off policy

  • Remote / Greater Austin Area (we have get togethers on occasion in Austin so bonus if you’re a drive away)

  • Competitive health insurance premiums (medical, dental, & vision)

  • A unique opportunity to revolutionize the sports and entertainment sponsorship industry

  • Scale your career along with a fast growing organization that has significant growth opportunities

  • The ability to work with a team of talented, fun, and hard-working colleagues in a highly collaborative culture


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

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