Data Scientist at Jemi Neil Consulting

Jemi Neil Consulting (JNC) is a people and business solutions company. We are a Human Resources Consultancy Company with a specific focus on executing various strategic initiatives in order for our clients to maximize its best in people.

We offer end to end Human Resource solution services ranging from Business Advisory, HR Structuring, HR Business Partnering, Talent Sourcing & Recruitment, Training & Development, Outsourcing, Employee Engagement, Payroll Management & Administration through to Performance Management.

JOB SUMMARY:

• We are seeking an experienced Data Scientist to join our team and drive data-driven insights and solutions. The ideal candidate will have a strong background in statistical analysis, machine learning, and data mining, with the ability to translate complex data into actionable insights.

JOB DESCRIPTION:

• Collect, process, and analyze large datasets from various sources to extract valuable insights and patterns.
• Design and implement statistical models, machine learning algorithms, and predictive analytics solutions to solve business problems.
• Collaborate with cross-functional teams, including data engineers, analysts, and stakeholders, to understand data requirements and develop data-driven strategies.
• Conduct exploratory data analysis, data visualization, and communicate findings to stakeholders.
• Stay up-to-date with the latest advancements in data science techniques, tools, and technologies.
• Develop and maintain data science pipelines, ensuring data quality, reproducibility, and scalability.
• Contribute to the continuous improvement of data science processes and methodologies.

JOB REQUIREMENTS:

• Master’s degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 2 years of experience in data science roles, with a strong portfolio of projects.
• Proficient in programming languages such as Python, R, and expertise in data science libraries and frameworks (e.g., NumPy, Pandas, Scikit-learn, TensorFlow).
• Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).
• Excellent analytical, problem-solving, and critical thinking skills. 
• Strong communication skills to effectively present and communicate complex data insights to non-technical stakeholders.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.

Method of Application