Data Scientist needed at IQbusiness

Key Responsibilities:

• Develop, implement, and optimize advanced analytics models to meet client needs in various industries.
• Utilize predictive and unsupervised analytics techniques, including forecasting, segmentation, clustering, and association analysis, to derive insights from data.
• Conduct data mining, cleaning, and analysis using programming skills in Python, SAS, SQL, VBA, and R.
• Compile comprehensive documentation for model development and business requirements.
• Create Management Information Systems (MIS) dashboards that provide advanced insights into key performance indicators (KPIs).
• Monitor model performance and develop solutions to enhance existing models.
• Communicate findings and insights effectively to both technical and non-technical stakeholders, preparing presentations and reports as needed.

Qualifications:

• Completed degree in Mathematics, Statistics, Data Science, or a related field.
• Over 5 years of experience in analytics in any industry.
• Proficiency in Python, with experience in forecasting techniques, segmentation, cohort analysis, regression analysis, hypothesis testing, and estimation/correlation analysis.
• Competency in using SAS, SQL, and VBA; familiarity with R is also considered an advantage.

Knowledge Requirements:

• Strong understanding of analytics methodologies, statistical analysis, and data visualization techniques.
• Familiarity with data mining and statistical modeling practices.
• Understanding of general business processes and the ability to apply analytical insights across various sectors.

Competencies:

• Excellent verbal and written communication skills, with the ability to explain complex concepts clearly to stakeholders.
• Strong time management, organizational, and planning skills; ability to manage multiple tasks simultaneously.
• Creative problem-solving and analytical skills, with a strategic mindset.
• Strong interpersonal skills, with a collaborative approach to working with internal teams.
• Flexibility and adaptability to change, along with a commitment to quality and customer satisfaction.
• Strong presentation skills, with the ability to conduct training sessions and adapt to different client environments efficiently.