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Data Analyst Specialist
4 weeks ago
We are a global consulting firm that combines design thinking with cutting-edge technology to deliver game-changing Commercial Analytics and Technology solutions to our clients. Our team of passionate experts from diverse backgrounds work together to drive innovation and growth.
Job DescriptionKey Responsibilities- Study and transform data science prototypes to meet client business needs.
- Identify relevant data sources and sets to mine for client business requirements and collect large structured and unstructured datasets.
- Lead data mining and collection procedures to ensure data quality and accuracy.
- Design machine learning systems and implement appropriate algorithms and tools.
- Run machine learning tests and experiments to refine models and improve performance.
- Perform statistical analysis and fine-tuning using test results to optimize solutions.
- Collaborate with cross-functional teams to understand business needs and translate them into actionable solutions.
- Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment.
- Collaborate in building internal offerings to help clients grow beyond project work.
- 4 years of hands-on experience in data science, AI, and machine learning.
- Strong understanding of machine learning concepts and techniques.
- Proficiency in programming languages such as Python or R is essential, with knowledge of SQL for database querying beneficial.
- Advanced skills in using libraries like Pandas, NumPy, and scikit-learn for data manipulation and analysis, and libraries like Matplotlib and Seaborn for data visualization.
- Solid understanding and practical experience in applying machine learning algorithms for predictive modeling, classification, and clustering, with knowledge of deep learning frameworks like TensorFlow or PyTorch a bonus.
- Strong statistical skills for hypothesis testing, experimentation, and A/B testing.
- Good organization and planning skills in implementing NLP and AI/ML solutions, with experience in guiding and leading a small team of budding data scientists.
- Strong communication and collaboration skills with the ability to articulate results and issues to internal and client teams.
- Highly motivated with a proven ability to work creatively and analytically in a problem-solving environment with minimal direction.
- Experience with life sciences datasets is preferred.
Machine learning algorithms, data science, PyTorch, algorithms, Python, deep learning frameworks, sci-kit-learn, life sciences datasets, SQL, NumPy, communication skills, Seaborn, R, statistical skills, AI/ML, TensorFlow, Matplotlib, NLP, collaboration skills, machine learning, Pandas
