At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our integral teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact empowering every team member to do their best work.

What You'll Work On
Partner with cross-functional teams to understand business goals and translate them into predictive models and data-driven solutions.
Build forward-looking predictive models, including demand forecasting, inventory pre-positioning, and health/trend monitoring (HTMS) analytics.
Develop statistical and machine learning models, including approaches that leverage sensor/telemetry data to anticipate maintenance needs before issues arise.
Perform exploratory data analysis (EDA) to uncover trends, correlations, and leading indicators that inform predictive models.
Collaborate on data preparation, wrangling, and transformation to ensure accuracy and integrity of model inputs and outputs.
Establish best practices for modeling, validation,



and presenting analytical findings to a diverse audience.

Requirements
5+ years of experience in a Data Scientist or similar role, with hands-on experience building statistical or machine learning models.
Strong background in statistics and predictive analytics e.g., time-series forecasting, regression, classification, or anomaly detection.
Experience with statistical model development and deployment is required.
Hands-on experience with SQL for data extraction and manipulation, and Python (e.g., scikit-learn, statsmodels, pandas) for modeling.
Familiarity with data storytelling and the ability to present findings to both technical and non-technical audiences.
Experience with sensor/telemetry/IoT data is a plus, particularly in motorsport, high-performance car tuning.

Why Lumenalta is an amazing place to work at
At Lumenalta, you can expect that you will:
Be 100% dedicated to one project a

📌 Senior Data Scientist (México)
🏢 Lumenalta
📍 México