Data Scientist
Job Description
Must have :
• Real production experience with MLOps in Databrick, particularly with experience in Model registration and evaluation
• Anthropic's Model Context Protocol, Azure AI Agent Service or Dapr
• Having built AI Agents and integrating those agents into a reasoning model
• Integrating Agents (home built or otherwise) into advanced reasoning models
• AI "Platform" capabilities like implementing constraints, monitoring, automated testing, etc.
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will work closely with data experts in the business to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth. The ideal candidate will have experience using Databricks for data science work and possess a strong background in both Generative AI and traditional AI techniques.
We will count on you to: (Role and Responsibilities)
• Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth.
• Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.
• Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.
• Conduct exploratory data analysis to identify patterns, trends, and correlations in the data, and communicate findings to both technical and non-technical stakeholders.
• Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges.
• Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement.
What you need to have: (Qualifications)
• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.
• Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions.
• Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.
• Experience working in a collaborative, cross-functional team environment is highly desirable.
What makes you stand out? (Preferred Qualifications)
• Proficiency in using Databricks for data science work, including data preprocessing, feature engineering, model training, and evaluation.
• Apply both Generative AI and traditional AI techniques to solve complex business problems and optimize processes
• Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau, Power BI) to effectively communicate complex findings to stakeholders.
Job Description
Must have :
• Real production experience with MLOps in Databrick, particularly with experience in Model registration and evaluation
• Anthropic's Model Context Protocol, Azure AI Agent Service or Dapr
• Having built AI Agents and integrating those agents into a reasoning model
• Integrating Agents (home built or otherwise) into advanced reasoning models
• AI "Platform" capabilities like implementing constraints, monitoring, automated testing, etc.
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will work closely with data experts in the business to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth. The ideal candidate will have experience using Databricks for data science work and possess a strong background in both Generative AI and traditional AI techniques.
We will count on you to: (Role and Responsibilities)
• Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth.
• Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.
• Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.
• Conduct exploratory data analysis to identify patterns, trends, and correlations in the data, and communicate findings to both technical and non-technical stakeholders.
• Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges.
• Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement.
What you need to have: (Qualifications)
• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.
• Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions.
• Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.
• Experience working in a collaborative, cross-functional team environment is highly desirable.
What makes you stand out? (Preferred Qualifications)
• Proficiency in using Databricks for data science work, including data preprocessing, feature engineering, model training, and evaluation.
• Apply both Generative AI and traditional AI techniques to solve complex business problems and optimize processes
• Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau, Power BI) to effectively communicate complex findings to stakeholders.
