Senior Data Scientist

What Youll Do

Support business decision making by deriving actionable insights

from structured and unstructured data

Conduct end-to-end machine learning and data analytics

activities, including data wrangling, feature engineering, building

and evaluating ML models.

Research and implement novel machine learning approaches to enable informed

business decisions.

Collaborate with business and engineering teams to analyze, extract,

normalize, and label relevant data.

Perform data engineering, feature engineering, data

preprocessing to train and tune ML models

Utilize BI tools to prepare reports, analyze and visualize data.

Implement MLOps practices such as CI/CD and continuous training

(CT) for deploying and maintaining ML models in production

environments.

Your Superpowers:

Experience

3 to 5 years of experience in data analytics and machine learning

Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch,

Scikit-learn, Pandas and NumPy.

Proficiency in writing production-quality code in Python, with a strong

understanding of object-oriented programming principles

Proven experience in analyzing and working with large datasets

Hands on experience with various BI tools

Expertise in applying both supervised and unsupervised learning techniques

3

Expertise & Learning Agility

You are open to new ways of thinking and committed to acquiring new skills to

retain a competitive advantage

You employ a thoughtful process of analyzing data and problem solving to reach

well-reasoned solutions

Strong collaboration, communication, and creative thinking skills