Senior Data Scientist

3 weeks ago

Johannesburg, South Africa Nedbank Full time

**Requisition Number and Talent Acquisition Contact**
- REQ: 134433- Location: Sandton, Johannesburg- Closing Date: 21 June 2024- Talent Acquisition: Saranya Govender- Job Family- Information Technology- Career Stream- Application Development- Leadership Pipeline- Manage Self Expert**Job Purpose**
- Lead the design, development, and implementation of cutting-edge analytic engines and services, leveraging extensive experience and expertise in machine learning, data mining, and information retrieval to pioneer innovations.**Responsibilities**:

- Spearheaded best-in-class statistical models and algorithms, building upon previous experiences and learnings.
- Conduct in-depth statistical analysis to extract valuable insights and patterns from complex datasets, contributing to data-driven decision-making.
- Offer actionable insights and advice to stakeholders, utilizing a solid foundation in AI/ML and contributing to the team's expertise.
- Contribute to the creation of value from enterprise-wide data, assisting in the translation of data into meaningful business solutions.
- Design and implement ML models with experienced banking professionals that meet the unique requirements of financial institutions.
- Implementation of cutting-edge AI and ML solutions, playing an active role in system operations and maintenance.
- Experienced in deploying or contributed to deployment of at least one end to end data science solutions that has yielded significant value in the organisation at an enterprise level.
- Contribute to the shaping of the organization's AI/ML strategy, aligning it with evolving business needs.
- Assist in transforming data science prototypes into scalable machine learning solutions for deployment.
- Collaborate with experienced team members to design dynamic ML models and systems, incorporating the capability for adaptability and retraining.
- Participate in periodic evaluations of ML systems, ensuring they align with corporate and IT strategies.
- Expert proficiency in programming tools (such as Python, R, etc) for data manipulation, statistical analysis, and machine learning tasks is essential.
- Demonstrate a profound command over computer science fundamentals, encompassing expert-level knowledge of data structures, algorithms, computability and complexity, and computer architecture.
- Spearheading and guiding the software engineering and design facets of projects, while providing mentorship and fostering collaboration among cross-functional teams.
- Utilize machine learning algorithms and libraries effectively, following established best practices and guidelines.
- Communicate technical concepts effectively to diverse audiences, adapting explanations for non-programming experts.

**Job Responsibilities Continue**
- Stay informed about the latest tools and techniques, engaging in continuous learning to enhance skills and knowledge.
- Able to the evaluate data distribution variations impacting model performance.
- Proficiency in cloud computing and hands-on experience with deploying complex data science projects on cloud platforms
- Collaborate with the team, sharing ideas and insights while conducting experiments and researching best practices.
- Leading role in formulating and refining the Machine Learning (ML) roadmaps or a component thereof, drawing upon extensive experience and visionary insights.
- Has a deep understanding of business problems and can design complete analytics solutions end to end
- Seek opportunities for personal growth and development, actively participating in knowledge-sharing and mentorship.
- Contribute to the achievement of the business strategy, objectives, and values, contributing to the organization's success.
- Participate in establishing a positive team culture and contribute to corporate responsibility initiatives.
- Contribute to the establishment of the Nedbank culture and participate in corporate responsibility initiatives to align with business strategy.
- Essential Qualifications - NQF Level- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
- Preferred Qualification- STEM Qualification- Engineering Qualification,
- Computer Science,
- Econometrics,
- Mathematical Statistics,
- Actuary Science
- Masters or Doctorate will be an added advantage- Preferred Certifications- Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist.- Minimum Experience Level- MS/PhD in STEM or related technical discipline
- 7 years’ plus experience in a statistical and/or data science role.
- Deep knowledge of machine learning, statistics, optimization or related field.
- Experience with R, Python, Matlab is required, programming in C, C++, Java.
- Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
- Exce

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