MVP Group Inc

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. Qualifications - 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 Requirements - 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 Benefits - 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

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. Work with research and development to create forward-facing solutions to help drive client success Collaborate directly with the data science, insights, and engineering teams to develop and execute products, services, and solutions Conduct detailed statistical analyses and find better ways to clean and structure data Engage in extensive research, development, and testing while carefully crafting methodologies Be self-motivated, driven to succeed, and curious about data Partner with a mentor or team of mentors to transition into the company This position is remote, with a strong preference for candidates based in the Greater Austin Area to support occasional in-person collaboration.