Data Scientist

IQbusiness, a leading independent management consulting firm, is looking for an experienced Data Scientist to join our Advanced Analytics Capability. The successful candidate will possess a strong background in predictive analytics and will provide analytical insights across various industries. This role involves utilizing analytical skills to develop and implement analytical solutions that drive data-informed decision-making for our clients.

Key Responsibilities:

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

Qualifications:

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

Knowledge Requirements:

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

Competencies:

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