Mitchell Jones
Data Scientist at Rockerbox
- Role
- Data Scientist at Rockerbox
- Location
- Raleigh, NC, US
- LinkedIn followers
- 500 followers
About Mitchell Jones
Mitchell Jones is a skilled Data Scientist with expertise in Python, SQL, R, and DAX. He holds a Master of Science in Data Science & Business Analytics and a Bachelor of Science in Business Analytics from the University of North Carolina at Charlotte. Mitchell is proficient in Git, VS Code/Cursor, Jupyter Notebooks, Tableau, PowerBI, Excel, and libraries including Pandas, NumPy, Numpyro, JAX, Matplotlib, Scikit-learn, Seaborn, Streamlit, Statsmodels, Sqlalchemy, and NLTK.As a Data Scientist at Rockerbox, Mitchell leads the development and optimization of Marketing Mix Modeling workflows. This includes reparameterizing existing modeling frameworks for better sampling, driving cross-team collaboration for more accurate delivery, and meeting directly with clients to help them leverage results to drive their budgeting decisions.Previously at IBM, he developed Python ETL pipelines, front-end dashboards, and similarity modeling for consulting projects, optimizing over 7k deals annually for winnability and gross profit, generating over $10M in yearly benefit. At Visual Risk IQ, he built 20+ interactive Tableau dashboards and an early warning system for school counselors, enhancing student performance monitoring and improving sales performance visibility for 40+ global sales reps.#DataScience #Python #SQL #MachineLearning #DataAnalytics #DataVisualization #AI #NLP #Tableau #PowerBI #Streamlit #BayesianStats #ETL #MarketingScience
Experience
Data Scientist
May 2024 — Present
Reparameterized Google’s framework to use more interpretable priors and improved sampling, reducing model divergences by 25% and producing clearer, more stable media effectiveness estimates.Led process development across data and client success teams to define source schemas, standardize build reviews, and support client-facing discussions on data and modeling assumptions.Redesigned the ETL pipeline for reproducibility and validation by integrating Pydantic schema checks and modular transformations. This was paired with internal QA applications to enable teams to independently verify data readiness and maintain quality across models.
Education
South Mecklenburg High School
High School Diploma
2014 — 2018
University of North Carolina at Charlotte
Bachelor of Science in Business Administration, Business Analytics
University of North Carolina at Charlotte
Master of Science - MS, Data Science and Business Analytics
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