Senior Data Scientist
3 weeks ago
We are hiring a Senior Data Scientist for a new start up organization specializing in Human Resources Ai platform to provide valuable insights and drive data-driven decisions. Successful candidate must have experience working on complex data analysis projects, develop machine learning models, and lead data science initiatives to address business challenges.
Job responsibilities will include:
- Develop and implement machine learning models and statistical algorithms to solve complex business problems.
- Engineer relevant features and perform dimensionality reduction to improve model performance and efficiency.
- Implement techniques such as PCA, LDA, and feature scaling.
- Train, fine-tune, and validate machine learning models using large datasets.
- Evaluate model performance using appropriate metrics and make necessary adjustments.
- Create and implement deep learning models and neural networks for tasks such as image recognition, natural language processing (NLP), and more.
- Apply NLP techniques for text analysis, sentiment analysis, language translation, chatbots, and other language-related tasks.
- Develop computer vision solutions for image and video analysis, object recognition, and image classification.
- Implement techniques such as image segmentation and feature extraction.
- Address ethical considerations in data science and machine learning and implement strategies to mitigate bias and fairness issues in algorithms.
- Create clear and informative data visualizations to communicate findings and insights to stakeholders.
- Collaborate with stakeholders to understand business objectives and align data science strategies with organizational goals.
- Document code, methodologies, and results for knowledge sharing and reproducibility.
Key Skills & Qualifications Required:
- Must have Master's or Ph.D. in a relevant field, such as Computer Science, Data Science, Statistics, or a related discipline.
- Must have 6-8 years of experience in data science, with a strong track record of successful projects.
- Proficiency in programming languages such as Python and familiarity with data science libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and pandas.
- Strong analytical and problem-solving skills.
- Excellent knowledge of data science, statistics, and data analysis techniques.
- Understanding of software engineering practices and version control.
- Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.
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