
15h Left Data Scientist
4 days ago
Responsibilities :
Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability.
Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling.
collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services.
Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.
Additional Responsibilities:
Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
Familiarity with real-time data processing and streaming analytics.
Passion for learning and staying at the forefront of data science and machine learning advancements.
Technical and Professional Requirements:
Master's degree in Computer Science, Statistics, Mathematics, or a related field.
7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
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