Amida Technology Solutions · 4 hours ago
Senior Data Scientist
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Responsibilities
Design, implement, and optimize machine learning models to address business challenges
Work with data analysts to document and use cases to design
Map and organize data science methods best suited for use case into five categories: Descriptive (classification, interpretation of historical data), Introspective (root cause analysis (RCA),anomaly), Predictive (forecasting), Prescriptive (recommendation, optimization), and Cognitive (NLP, Generative AI)
Develop end-to-end machine learning pipelines, from feature engineering to deployment
Stay updated with the latest developments in deep learning architecture and techniques
Leverage LLMs for generating insights, automating tasks, and enhancing decision-making processes
Analyze large, complex datasets to extract actionable insights and trends
Collaborate with cross-functional teams to translate data findings into strategic recommendations
Apply optimization techniques to enhance model performance and solve operational challenges
Develop and implement algorithms for resource allocation, process improvement, and efficiency gains
Work closely with data engineers, product managers, and stakeholders to ensure alignment of data initiatives with business objectives
Mentor junior team members and provide technical guidance on best practices
Write clean, efficient, and scalable Python code for data processing, model development, and automation
Leverage Python libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and others
Qualification
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Required
Master's or Ph.D. in Computer Science, Statistics, Mathematics, or Data Science
Minimum 5 years of experience in data science, machine learning, or a related role
Proven track record of implementing supervised and unsupervised learning models in real-world applications
Proficiency in Python and its ecosystem
Knowledge of databased technologies
Strong understanding of supervised and unsupervised learning techniques
Hands-on experience with deep neural networks and modern architectures (e.g., CNNs, RNNs, transformers)
Excellent problem-solving and analytical thinking abilities
Strong communication skills to explain complex concepts to non-technical stakeholders
Ability to work both independently and collaboratively in a fast-paced environment
Familiarity with agile process
Must be able to clear Public Trust Clearance
Preferred
Expertise in auto-ML methods
Familiarity with graph databases (e.g., Neo4j)
Company
Amida Technology Solutions
Amida Technology Solutions, Inc.
Funding
Current Stage
Growth StageRecent News
2024-04-15
2024-04-15
2024-04-15
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