Senior Technical Assessor/Interviewer - Data Mining

Role Overview:

We are seeking a highly skilled and experienced Senior Technical Assessor/Interviewer specializing in Data Mining to join our team. This advanced role involves evaluating technical candidates for various senior-level data mining positions, ensuring they meet the highest standards of technical proficiency, problem-solving abilities, and cultural fit. The ideal candidate will possess a deep expertise in data mining methodologies, tools, and practices, along with a strong ability to mentor and guide the technical assessment process.

Responsibilities:

• Design and conduct comprehensive technical interviews and assessments for senior-level data mining positions, ensuring a thorough evaluation of candidates technical skills, experience, and cultural fit.
  
• Develop and continuously update advanced assessment criteria and interview questions to reflect the latest data mining trends, tools, and best practices.
  
• Collaborate closely with the HR and data analytics teams to understand complex role requirements, desired skills, and team dynamics, tailoring assessments accordingly.
  
• Provide detailed, actionable feedback and recommendations to the hiring team, playing a key role in informing hiring decisions.
  
• Stay abreast of the latest advancements in data mining technologies, tools, and practices, ensuring that assessments remain current and relevant.
  
• Facilitate in-depth technical workshops or discussions to evaluate candidates hands-on skills in a collaborative environment.
  
• Mentor and train junior technical assessors/interviewers, providing guidance on best practices and interview techniques.
  
• Ensure an exceptional candidate experience throughout the technical assessment process.
  

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  
• 7+ years of experience in data mining roles, with at least 5 years specializing in senior data mining positions.
  
• Deep understanding of data mining techniques, including clustering, classification, association, and anomaly detection.
  
• Proficiency with programming languages and data mining tools such as Python, R, SQL, Weka, RapidMiner, and Scikit-learn.
  
• Experience with data visualization tools such as Tableau, Power BI, Matplotlib, and Seaborn.
  
• Familiarity with big data technologies such as Hadoop, Spark, and Hive.
  
• Strong analytical skills and the ability to evaluate complex technical skills and problem-solving abilities.
  
• Excellent communication and interpersonal skills, with a proven ability to provide constructive feedback and mentor others.
  
• Extensive experience designing advanced technical assessments and conducting technical interviews.
  
• Up-to-date knowledge of the latest data mining trends and best practices.
  
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  

Preferred Qualifications:

• Advanced certifications in data mining or related fields.
  
• Significant experience in a technical hiring or technical assessment role.
  
• Leadership or managerial experience in a data mining team, with a proven track record of mentoring and guiding team members.
  
• Experience contributing to open-source data mining projects or communities.
  
• Familiarity with data engineering and data pipeline technologies.
  
• Knowledge of performance optimization techniques for data mining algorithms.
  

Mandatory Technical Key Skills:

Python, R, SQL, Weka, RapidMiner, Scikit-learn, Tableau, Power BI, Matplotlib, Seaborn, Hadoop, Spark, Hive, Git, GitHub, GitLab, Jenkins, CI/CD, Agile, Scrum.