Python Data Analyst for Motorsport Telemetry (Plotly + Light ML)
Budget: $30 – $250 USD
I’m looking for a Python-based data analyst/data scientist to help process and analyze motorsport telemetry data. The role focuses on data manipulation, math-based channel generation, anomaly checks, and producing clear Plotly visualizations.
This is not a dashboard-building job—the work is task-based and processing-oriented.
Motorsport or vehicle dynamics knowledge is a plus but not required.
Example Types of Tasks (high-level):
-Creating new calculated channels based on existing telemetry
-Cleaning and correcting datasets using supporting channels
-Detecting anomalies in time-series data
-Identifying corner sections and driving phases
-Combining datasets and aligning them
-Comparing two datasets and highlighting key differences with Plotly
Skills Needed:
-Python (Pandas, NumPy, etc), Plotly
-Comfortable with time-series data
-Basic ML (scikit-learn) for simple classification or clustering
-Ability to follow instructions and iterate based on feedback
-Motorsport/Vehicle dynamics knowledge is a plus.
Notes:
-Clear explanations and some formulas will be provided. Tasks will be delivered step-by-step.
-This is ongoing task-based work, so I’m looking for someone consistent rather than extremely specialized.
-There is potential for additional tasks/projects if results are good.
Please share any previous examples of data analysis work.
This is not a dashboard-building job—the work is task-based and processing-oriented.
Motorsport or vehicle dynamics knowledge is a plus but not required.
Example Types of Tasks (high-level):
-Creating new calculated channels based on existing telemetry
-Cleaning and correcting datasets using supporting channels
-Detecting anomalies in time-series data
-Identifying corner sections and driving phases
-Combining datasets and aligning them
-Comparing two datasets and highlighting key differences with Plotly
Skills Needed:
-Python (Pandas, NumPy, etc), Plotly
-Comfortable with time-series data
-Basic ML (scikit-learn) for simple classification or clustering
-Ability to follow instructions and iterate based on feedback
-Motorsport/Vehicle dynamics knowledge is a plus.
Notes:
-Clear explanations and some formulas will be provided. Tasks will be delivered step-by-step.
-This is ongoing task-based work, so I’m looking for someone consistent rather than extremely specialized.
-There is potential for additional tasks/projects if results are good.
Please share any previous examples of data analysis work.