Job Title

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 techniques3● 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