
Senior Data Strategist
1 day ago
Job Overview
We are seeking a seasoned professional to spearhead our data analytics and machine learning efforts. As a senior data scientist, you will play a pivotal role in driving business decisions with actionable insights derived from structured and unstructured data.
Key Responsibilities:
• Support business decision-making by extracting valuable insights from complex datasets.
• Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, model building, and evaluation.
• Research and implement novel machine learning approaches to enable informed business decisions.
• Collaborate with cross-functional teams to analyze, extract, normalize, and label relevant data.
• Perform data engineering, feature engineering, and data preprocessing to train and tune ML models.
• Utilize business intelligence tools to prepare reports, analyze, and visualize data.
• Implement MLOps practices for deploying and maintaining ML models in production environments.
Requirements:
• 3-5 years of experience in data analytics and machine learning.
• Hands-on experience with popular 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 business intelligence tools.
• Expertise in applying both supervised and unsupervised learning techniques.
What We Offer:
• A dynamic work environment that fosters collaboration and innovation.
• Opportunities for growth and professional development.
• Competitive compensation and benefits package.
• Recognition and rewards for outstanding performance.
How to Apply:
If you are a motivated and experienced professional looking to make a meaningful impact, please submit your application.
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