Senior Data Scientist

What You’ll 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

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● 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