
Data Strategist
1 day ago
About the Role
As a Data Strategist, you will be responsible for developing and implementing data-driven strategies to drive business growth.
Key Responsibilities:
- 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.
- 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
What We Offer
A dynamic work environment that fosters innovation, collaboration, and growth. Join our team of like-minded professionals who share a passion for data-driven decision making and innovative problem-solving.
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