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At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. We are looking for an experienced Data Scientist to drive the development of data-driven solutions in the connected vehicle analytics domain.
Job Responsibility
Design, build, and validate predictive models for connected vehicle analytics, including driver behavior analysis, vehicle health monitoring, and route optimization
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 to communicate findings to stakeholders
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 to enhance solution capabilities
Requirements
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
Analytical and problem-solving mindset with attention to detail
Strong communication skills for presenting technical results to non-technical audiences
Ability to work independently and collaboratively in cross-functional teams
Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
Nice to have
Experience working with connected vehicle data, IoT telemetry, or mobility analytics
Knowledge of data pipelines and real-time analytics frameworks
Exposure to cloud-based data environments (AWS, Azure, or GCP)