Data Scientist - AI & Data

Description :

Role : Data Scientist - AI & DataLocation : San Francisco, CA

Responsibilities

• Data Collection & Preparation :
• Gather, clean, and preprocess large datasets from various sources
• Perform exploratory data analysis (EDA) to understand the structure and quality of the data
• Apply data wrangling techniques to handle missing, inconsistent, or incomplete data
• Statistical Analysis & Modeling :
• Use statistical techniques to identify patterns, correlations, and trends in data
• Develop predictive and prescriptive models using machine learning algorithms
• Build, test, and optimize models (e.g., regression, decision trees, random forests, SVM, deep learning, etc.
• Perform hypothesis testing and A / B testing to validate assumptions and recommendations
• Machine Learning & AI Implementation :
• Implement machine learning models and algorithms for various business
• Leverage deep learning techniques and neural networks when necessary
• Monitor the performance of deployed models, providing regular updates
• Data Visualization & Reporting :
• Create interactive and insightful visualizations using tools such as Tableau, Power BI, or libraries like Matplotlib and Seaborn (for Python).
• Present complex technical findings to non-technical stakeholders
• Prepare detailed reports and dashboards that track key performance indicators (KPIs) and other business metrics
• Collaboration & Communication :
• Work closely with cross-functional teams, including business analysts, product managers, and engineers, to define project goals and requirements
• Communicate findings, methodologies, and insights effectively to both technical and business audiences
• Provide actionable recommendations to help drive data-informed decision-making
• Continuous Improvement :
• Stay up-to-date with the latest research, tools, and techniques in data science and machine learning.
• Experiment with and implement cutting-edge machine learning algorithms and techniques.
• Contributes to the refinement and optimization of existing data models and processes.
• Data Governance & Ethics :
• Ensure data integrity and privacy by following best practices in data handling and processing.
• Work in compliance with data security standards and ethical guidelines.

Requirements

Skills and Qualifications :

Educational Background :

Technical Skills :

Analytical Skills :

Soft Skills :

Experience :

Work Environment

#J-18808-Ljbffr