PHD AI/ML Data Scientist

Compunnel

$150K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • PhD in a relevant quantitative discipline (Computer Science, Data Science, etc.)
  • 8-12 years of hands-on experience in AI/ML and Data Science
  • Strong proficiency in Python programming
  • Expertise in designing and deploying AI and ML solutions
  • Advanced knowledge of data modeling and statistical techniques
  • Experience delivering scalable AI solutions in enterprise settings
  • Strong analytical, problem-solving, and collaboration skills.

Responsibilities

  • Design and deploy advanced AI/ML models using Python
  • Build predictive models to address complex business challenges
  • Analyze large datasets to extract actionable insights
  • Develop and validate machine learning algorithms for production
  • Translate business needs into scalable AI solutions
  • Collaborate with teams to guide AI/ML project development
  • Evaluate and optimize model performance and reliability
  • Stay updated on relevant AI/ML technologies and practices.

Benefits

  • Opportunities for continuous learning and professional development
  • Engagement with cutting-edge technologies in AI/ML
  • Collaborative work environment with cross-functional teams
  • Potential for impact on high-stakes business decisions
  • Exposure to innovative projects and industry best practices
Full Job Description
Job Summary We are seeking a highly skilled PhD-trained AI/ML Data Scientist with strong expertise in Python, Artificial Intelligence, Machine Learning, advanced data modeling, and statistical analysis. The ideal candidate will have extensive experience designing, developing, validating, and deploying scalable AI/ML solutions to address complex business challenges. Key Responsibilities • Design, develop, and deploy advanced AI/ML models using Python. • Build predictive and statistical models to solve complex business problems. • Analyze large and complex datasets to identify patterns and derive actionable insights. • Develop, validate, optimize, and deploy machine learning algorithms in production environments. • Translate business requirements into scalable AI-driven solutions. • Collaborate with cross-functional teams throughout the AI/ML solution development lifecycle. • Evaluate model accuracy, scalability, reliability, and performance. • Continuously optimize existing models and machine learning solutions. • Apply advanced data modeling and statistical techniques to support business objectives. • Stay current with emerging AI/ML technologies, methodologies, and industry best practices. Required Qualifications • PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related quantitative discipline. • 8-12 years of hands-on experience in AI/ML and Data Science. • Strong proficiency in Python. • Strong expertise in Artificial Intelligence and Machine Learning. • Advanced knowledge of data modeling, statistical analysis, and predictive modeling. • Experience developing, validating, and deploying machine learning models. • Proven experience delivering scalable AI solutions within enterprise environments. • Strong analytical and problem-solving skills. • Excellent communication and cross-functional collaboration skills.

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