Pozent Corporation
Senior Data Analyst / AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst / AI Engineer with 8+ years of experience, focusing on data analytics and conversational AI in the Pharma or Life Sciences domain. Contract length is unspecified, with a pay rate of "X". Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
South Plainfield, NJ
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🧠 - Skills detailed
#Pandas #PostgreSQL #Data Quality #Data Manipulation #Programming #Databases #ML (Machine Learning) #AWS (Amazon Web Services) #Automation #SQL (Structured Query Language) #MySQL #Tableau #Visualization #Cloud #Data Cleaning #Datasets #Libraries #AI (Artificial Intelligence) #NumPy #Scala #Database Performance #"ETL (Extract #Transform #Load)" #NLP (Natural Language Processing) #Python #Data Science #Azure #Data Engineering #Microsoft Power BI #Data Analysis #GCP (Google Cloud Platform) #Computer Science #BI (Business Intelligence) #Deployment #Data Pipeline #Compliance
Role description
Role Overview
We are seeking a Senior Data Analyst / AI Engineer with strong expertise in data analytics and conversational AI solutions. The ideal candidate will drive data-driven insights, develop advanced dashboards, and support AI-powered chatbot and automation initiatives, preferably within the Pharma or Life Sciences domain.
Key Responsibilities
• Analyze large and complex datasets to generate actionable insights and support strategic decision-making
• Design and develop advanced dashboards and reports using tools like Power BI or Tableau
• Build, optimize, and maintain scalable data pipelines and workflows
• Develop and enhance conversational AI solutions, including chatbots and NLP-based applications
• Collaborate with cross-functional teams to integrate AI solutions into enterprise systems
• Ensure data quality through robust data cleaning, transformation, and validation processes
• Support development and deployment of machine learning models for AI use cases
• Optimize database performance and improve efficiency of data systems
• Work with Pharma/Life Sciences data while ensuring compliance with industry standards
Required Skills & Qualifications
• 8+ years of experience in Data Analytics, Data Engineering, or AI-related roles
• Strong programming skills in Python and SQL
• Extensive experience with data visualization tools (Power BI, Tableau, or similar)
• Hands-on experience with data manipulation libraries such as Pandas and NumPy
• Solid understanding of machine learning and/or conversational AI concepts
• Experience working with databases (MySQL, PostgreSQL, or similar)
• Experience in Pharma or Life Sciences domain is required
• Strong analytical, problem-solving, and stakeholder communication skills
Preferred Qualifications
• Experience with chatbot development or NLP frameworks
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with data pipeline tools and ETL processes
• Knowledge of regulatory frameworks (e.g., GxP, HIPAA)
• Experience supporting clinical, regulatory, or commercial data use cases
Education
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
Role Overview
We are seeking a Senior Data Analyst / AI Engineer with strong expertise in data analytics and conversational AI solutions. The ideal candidate will drive data-driven insights, develop advanced dashboards, and support AI-powered chatbot and automation initiatives, preferably within the Pharma or Life Sciences domain.
Key Responsibilities
• Analyze large and complex datasets to generate actionable insights and support strategic decision-making
• Design and develop advanced dashboards and reports using tools like Power BI or Tableau
• Build, optimize, and maintain scalable data pipelines and workflows
• Develop and enhance conversational AI solutions, including chatbots and NLP-based applications
• Collaborate with cross-functional teams to integrate AI solutions into enterprise systems
• Ensure data quality through robust data cleaning, transformation, and validation processes
• Support development and deployment of machine learning models for AI use cases
• Optimize database performance and improve efficiency of data systems
• Work with Pharma/Life Sciences data while ensuring compliance with industry standards
Required Skills & Qualifications
• 8+ years of experience in Data Analytics, Data Engineering, or AI-related roles
• Strong programming skills in Python and SQL
• Extensive experience with data visualization tools (Power BI, Tableau, or similar)
• Hands-on experience with data manipulation libraries such as Pandas and NumPy
• Solid understanding of machine learning and/or conversational AI concepts
• Experience working with databases (MySQL, PostgreSQL, or similar)
• Experience in Pharma or Life Sciences domain is required
• Strong analytical, problem-solving, and stakeholder communication skills
Preferred Qualifications
• Experience with chatbot development or NLP frameworks
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with data pipeline tools and ETL processes
• Knowledge of regulatory frameworks (e.g., GxP, HIPAA)
• Experience supporting clinical, regulatory, or commercial data use cases
Education
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
