In one sentence
Are you passionate about a future driven by data and intelligent systems? Do you thrive on uncovering actionable insights that fuel cutting-edge Artificial Intelligence (AI) and Generative AI (GenAI)solutions? If so, we invite you to join our dynamic and forward-thinking team!
What will your job look like?
Collaborate with data scientists, AI/ML engineers, and product managers to define objectives and datarequirements.
Source, integrate, and evaluate data from various sources for AI/GenAI model development and evaluation.
Prepare data for modeling, including cleaning, feature engineering, and specialized needs.
Conduct in-depth data analysis to uncover patterns, trends, and insights.
Support model evaluation and develop reports and metrics for tracking.
Utilize GenAI tools to enhance analytical workflows and generate synthetic data.
Ensure data quality, integrity, and security, and contribute to ethical AI practices.
Monitor model performance and participate in continuous improvement.
Are you passionate about a future driven by data and intelligent systems? Do you thrive on uncovering actionable insights that fuel cutting-edge Artificial Intelligence (AI) and Generative AI (GenAI)solutions? If so, we invite you to join our dynamic and forward-thinking team!
What will your job look like?
Collaborate with data scientists, AI/ML engineers, and product managers to define objectives and datarequirements.
Source, integrate, and evaluate data from various sources for AI/GenAI model development and evaluation.
Prepare data for modeling, including cleaning, feature engineering, and specialized needs.
Conduct in-depth data analysis to uncover patterns, trends, and insights.
Support model evaluation and develop reports and metrics for tracking.
Utilize GenAI tools to enhance analytical workflows and generate synthetic data.
Ensure data quality, integrity, and security, and contribute to ethical AI practices.
Monitor model performance and participate in continuous improvement.
Requirements:
Must:
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related quantitative field..
Proficiency in SQL and Python or R, including libraries like Pandas, NumPy, Scikit-learn.
Experience with visualization tools like Tableau, Power BI, Matplotlib, Seaborn.
Basic understanding of machine learning concepts and algorithms.
Excellent analytical and problem-solving skills.
Strong communication and collaboration abilities.
Advantage:
Familiarity with cloud platforms like AWS, GCP, Azure.
Knowledge of MLOps/AIOps principles and tools.
Experience with big data technologies like Spark.
Contributions to open-source projects or a portfolio of data analysis work.
Must:
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related quantitative field..
Proficiency in SQL and Python or R, including libraries like Pandas, NumPy, Scikit-learn.
Experience with visualization tools like Tableau, Power BI, Matplotlib, Seaborn.
Basic understanding of machine learning concepts and algorithms.
Excellent analytical and problem-solving skills.
Strong communication and collaboration abilities.
Advantage:
Familiarity with cloud platforms like AWS, GCP, Azure.
Knowledge of MLOps/AIOps principles and tools.
Experience with big data technologies like Spark.
Contributions to open-source projects or a portfolio of data analysis work.
This position is open to all candidates.
