Job Details

Summary

The Data Scientist is a member of a highly motivated Client Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.

Responsibilities

Development of Data Science Solutions:
Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
Partner with engineering teams to develop technology infrastructure
Build and refine models to maintain optimal performance and relevance
Collaboration and Communication
Work closely with cross-functional team to align data science initiatives with business priorities
Partner with leadership to identify and prioritize high-impact opportunities for data science applications
Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels
Data Wrangling:
Identify data sources that can be useful to answer business questions
Perform experiments on ingested data to evaluate quality and integrity
Build data pipelines for ongoing data extraction
Data Exploration and Visualization:
Use advanced visualization techniques to present data insights in a compelling way
Apply advanced analytics to create metrics and KPIs that summarize insights from data
Data Analysis:
Apply advanced statistical methods for classification and prediction, including machine learning methods
Document processes and analysis, using reproducible methods and scripts
Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

Required Capabilities

Minimum 3 years working in a Data Science role
Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
Master's Degree in relevant discipline preferred
Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
Proficiency in using SQL and modern Database management
Experience with Spark or similar distributed computing platforms
Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
Experience with Natural Language Processing methods and applications preferred
Experience successfully implementing analytical solutions with real-world business impact
Excellent analytical and problem-solving skills
Demonstrated initiative and ownership of tasks and projects
Ability to prioritize, coordinate, and complete tasks to meet deadlines
Ability to work effectively both independently and in team environments
Ability to present complex problems in simple terms

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