Senior Data Scientist
2 weeks ago
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
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
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