Senior Data Scientist

3 weeks ago

Cape Town, South Africa 5th Dimension Consulting Full time

May 25, 2023 | Information Technology (IT)

**Responsibilities**

**_Data Preparation_**
- Assess the effectiveness and accuracy of new Data sources and Data gathering techniques.
- Extend the company’s Data with third party sources of information when required.
- Process, cleanse and verify the integrity of Data used for Analysis.
- Identify valuable data sources and Automate collection processes.
- Undertake pre-processing of structured and unstructured data.

**_Analysis and Model Building_**
- Mine and Analyze data to drive optimization and improvement of Pricing, Product development, Marketing techniques, and business Strategies.
- Analyze large amounts of information to discover trends and patterns.
- Select features, build, and optimize classifiers using advanced Machine learning techniques.
- Utilize predictive Modeling to influence value drivers such as sales, client retention, expense management, and optimization of client experience.
- Blend models through ensemble modeling.

**_Stakeholder Engagement_**
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.

**_Implement and Monitor_**
- Coordinate with different functional teams to implement models, allowing for different systems integration patterns, and monitor outcomes.
- Develop processes and tools to monitor and analyse model performance and data accuracy.

**_Leadership and Team Management_**
- Provide leadership and guidance to team members in Advanced Analytics, the Data engineering and Product development teams.
- Collaborate with data and analytics experts to enhance workflow processes, documentation, technical model builds and model deployment
- Support and mentor team members to drive value for the Group.

**Requirements**:
**_Qualifications_**
- Degree in Statistics, Actuarial Science, Mathematics, Computer Science or another quantitative field.
- An advanced degree in a quantitative field would be advantageous.

**_Experience_**
- A proven track record of successfully implementing Data-driven solutions and delivering measurable business impact.
- Demonstrated Leadership and Management abilities: Experience in leading and managing teams, providing guidance and mentorship to junior members, and effectively coordinating with cross-functional teams.

**_Skills/ Knowledge_**
- Strategic thinking: A strategic mindset and the ability to align data science initiatives with broader business objectives. Able to identify opportunities for leveraging data and analytics to drive innovation and improve business outcomes.
- Technical Expertise: A deep understanding and expertise in various Data science techniques, Statistical modeling, Machine learning algorithms, and Data mining.
- A thorough knowledge of Programming languages such as Python or R and proficient in querying databases and working with big data tools and frameworks like Hadoop, Spark, or SQL.
- Communication and Presentation Skills: Ability to effectively communicate complex data science concepts and insights to both Technical and non-technical stakeholders.
- Excellent presentation skills and the ability to translate data-driven insights into actionable recommendations for business stakeholders.

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