Data Scientist
Role overview
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.
Responsibilities
- check_circle Work with our Client Services teams to streamline processes related to valuation and other data and reporting services to provide actionable data to our customers
- check_circle Collaborate with other data scientists, ML engineers, and software engineers to assist in creation of enterprise solutions in a SaaS software distribution environment.
- check_circle 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.
- check_circle 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.
- check_circle 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.
- check_circle Bachelor’s degree in Computer Science, Statistics, Mathematics or related field
- check_circle 2+ years of combined experience in machine learning, statistics, data modeling, programming, or applied research in related fields outside of academia
- check_circle Proficiency and experience using Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data
- check_circle Strong SQL, database, and ETL skills required including cleaning and managing data.
- check_circle Experience working with predictive and statistical modeling, machine learning and experience in all phases of the modeling pipeline
- check_circle Ability to work collaboratively with both data scientists and backend engineers
- check_circle Familiarity with AWS preferred
- check_circle It is a plus if you have experience with, and have Databricks certifications
- check_circle Competitive compensation and 401K plan
- check_circle Competitive health insurance plans (medical, dental & vision) as well as Company paid life insurance, short & long term disability
- check_circle Parental leave of 12 weeks off for primary caregivers and 4 weeks for non-primary caregivers, including adoptive and foster parents (with 100% pay)
- check_circle Flexible vacation policy for paid time off and 11 company paid holidays
- check_circle The ability to work with a team of talented, fun, and hard-working colleagues
About the company
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.
Tags & Focus Areas
About MVP Group
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.