Description

Apply machine learning and predictive modeling to derive actionable insights from complex datasets.

This role is on-site.

Responsibilities

• Develop and implement machine learning, deep learning, and predictive models.
• Perform feature engineering, model evaluation, and algorithm tuning.
• Manage MLOps workflows to support model deployment and lifecycle.
• Execute statistical analysis using regression, classification, and clustering techniques.
• Build data visualizations to communicate findings through tools like Tableau or Power BI.

Required Skills

• 4+ years of experience in data science roles focused on machine learning and AI.
• Proficiency in Python, R, or Java.
• Hands-on experience with Scikit-learn, TensorFlow, PyTorch, or Keras.
• Experience with data processing frameworks including Apache Kafka, Apache Flink, or Spark.
• Strong background in statistical analysis and modeling.
• Competency in data visualization using Matplotlib, Seaborn, ggplot, Tableau, or Power BI.
• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or Engineering.

Preferred Skills

• Experience working with real-time/streaming data and telematics.
• Background in the automotive industry or working with automotive data.

Key Skills

Education

Bachelor's degree in Computer Science