Data Scientist

Job not on LinkedIn

October 15

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Logo of Codvo.ai

Codvo.ai

AI • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Design, build, and validate predictive models for connected vehicle analytics • Analyze and interpret large, complex datasets to uncover patterns, correlations, and actionable business insights • Identify and engineer key features to improve model performance and accuracy • Collaborate with the AI Lead to fine-tune models, test new algorithms, and assess performance metrics • Develop clear and insightful dashboards and visual reports using tools like Power BI or Looker • Work closely with data engineering and product teams to operationalize models and integrate insights into decision-making systems • Stay up to date with advancements in machine learning, data processing, and automotive data analytics

🎯 Requirements

• 6+ years of experience in Data Science • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field • Proficient in Python (pandas, numpy, scikit-learn, etc.) • Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras • Strong understanding of statistics, probability, and data modeling techniques • Experience in feature engineering, model evaluation, and hyperparameter tuning • Skilled in data visualization and storytelling using Power BI or Looker • Exposure to cloud-based data environments (AWS, Azure, or GCP) is a plus

🏖️ Benefits

• Flexible work arrangements

Apply Now

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