Remote Data Scientist (Python)

Job Title: Data Scientist

Experience: 6+ Years

Location: Remote

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. 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. The ideal candidate will have deep expertise in predictive modeling, machine learning, and data visualization , with a strong focus on delivering actionable insights that enhance vehicle performance, driver behavior, and operational efficiency.

Design, build, and validate predictive models for connected vehicle analytics, including driver behavior analysis, vehicle health monitoring, and route optimization.

Data Exploration: Identify and engineer key features to improve model performance and accuracy.

Model Optimization: Collaborate with the AI Lead to fine-tune models, test new algorithms, and assess performance metrics.

Visualization & Insights: Develop clear and insightful dashboards and visual reports using tools like Power BI or Looker to communicate findings to stakeholders.

Collaboration: Work closely with data engineering and product teams to operationalize models and integrate insights into decision-making systems.

Continuous Improvement: Stay up to date with advancements in machine learning, data processing, and automotive data analytics to enhance solution capabilities.

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.

Strong communication skills for presenting technical results to non-technical audiences.

Preferred Experience:

Experience working with connected vehicle data, IoT telemetry, or mobility analytics.

Knowledge of data pipelines and real-time analytics frameworks.