Lead Data Scientist

Company Overview

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values we aspire to live by every day.

We continue to expand our digital strategy, architecture, AI/ML, and product engineering capabilities to deliver outside-the-box thinking and measurable business outcomes for our clients.

Role Overview

Senior / Lead Data Scientist

design, build, optimize, and productionize ML models end-to-end

Key Responsibilities

• Design, develop, and deploy

  production-grade ML and DL models

  with a focus on

  time-series data

  , forecasting, and predictive analytics.
• Build and optimize

  end-to-end ML pipelines

  , from data preprocessing and feature engineering to model training, evaluation, and deployment.
• Apply advanced ML techniques including

  regression, tree-based models, ensemble methods, deep learning, and optimization algorithms

  .
• Work on

  feature extraction and dimensionality reduction

  using techniques such as

  autoencoders

  for high-dimensional datasets.
• Productionize models using

  Docker, model serving frameworks (TensorFlow Serving / REST APIs)

  , and cloud-native tools.
• Collaborate closely with

  Data Engineering teams

  to jointly own data pipelines, ML workflows, and scalable architectures.
• Track experiments, model performance, and metrics using industry-standard tools and best practices.
• Mentor junior team members and contribute to technical decision-making and architecture discussions.
• Translate business problems into ML solutions with

  clear impact metrics

  .

Required Skills – Technical

• 7+ years of hands-on experience

  in Data Science, Machine Learning, or Applied AI roles.
• Strong foundation in

  statistical modeling

  and

  machine learning techniques

  :
• Regression, boosting trees, random forests
• Time-series modeling and forecasting
• Optimization techniques (linear, nonlinear, stochastic)
• Deep Learning expertise using frameworks such as:

• TensorFlow, Keras, PyTorch

• Experience with

  RNN, LSTM, GRU, CNN

  is a plus
• Experience with

  NLP techniques

  and unstructured data processing.
• Strong programming skills in

  Python

  (R is a plus); familiarity with

  sh/bash

  scripting.
• Experience working with

  SQL and NoSQL databases

  .
• Familiarity with

  modern data analytics and ML architectures

  .
• Experience building and consuming

  REST APIs and web services

  .
• Exposure to

  Big Data tools

  (Spark, Hadoop, or similar) is a strong plus.
• Cloud experience (AWS / GCP / Azure) preferred.

Required Skills – Non-Technical

• Fluent English communication (spoken and written).
• Strong problem-solving and critical-thinking skills.
• Highly detail-oriented with strong analytical mindset.
• Excellent time-management and organizational skills.
• Team player with a continuous learning attitude.
• Ability to work independently in a remote setup and take ownership.

Location: Remote

Working time:2:30 pm to 11:30 pm