Job Description

Job Title:

Data Scientist

Experience:

6+ Years

Location:

Remote

Company Overview

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.

About the Role:

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.

Key Responsibilities:

Model Development:

Design, build, and validate

predictive models

for connected vehicle analytics, including driver behavior analysis, vehicle health monitoring, and route optimization.

Data Exploration:

Analyze and interpret large, complex datasets to uncover patterns, correlations, and actionable business insights.

Feature Engineering:

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.

Skills & Qualifications:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Technical Expertise:

+ 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.

Soft Skills:

+ 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.

Preferred Experience:

Experience working with

connected vehicle data

,

IoT telemetry

, or

mobility analytics

. * Knowledge of

data pipelines

and

real-time analytics

frameworks.