Senior Data Scientist
Job Description
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
Join Electrifi