A leading organisation is looking for a data scientist to join their team. The purpose of the role is to design, prototype, and build next-generation analytic engines and services by applying strong expertise in maching learning , data mining and information retrieval.
Responsibilities:
- Develop best-in-class statistical models and algorithms
- Conducts advanced statistical analysis
- Provide actionable insights, identify trends, and measure performance
- Create value out of enterprise wide data
- Provide insights to BI and BA to further exploit and present their models
- Provide strategic direction ito data information received
- Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive business value.
- Conduct data discovery for inclusion in models.
- Collaborate with key stakeholders to obtain business acumen and intellectual property
- Keep abreast with latest tools and techniques
- Understands business problems and designs end-to-end analytics use cases
- Collaborates with model developers to implement and deploy scalable solutions
- Develop complex models and algorithms that drive innovation throughout the organization.
- Ensure improvement of on-time performance and network planning,
- Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
- Work with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.).
- Ensure understaning of pros and cons of different analytics approaches for problem type.
- Implements more advanced algorithms, e.g., complex descriptive.
- Ensure Quality controls of own work and those of junior scientists.
- Understand current state of analytics more broadly and apply techniques from across industries.
- Map problems and quantify the impact of proposed measures.
- Develop and prioritise use case roadmaps
- Support the achievement of the business strategy, objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems, process, services and solutions are aligned.
- Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
About The Employer:
Requirements:
- 5-7 years’ experience in a statistical and/or data science roll
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
- Preferred qualification: BSC Computer Science, BSc Engineering, Econometrics, Mathematical Statistics , Actuary Science or any Stem Qualification
- Deep knowledge of machine learning, statistics, optimization or related field
- Experience in Python(Must), R and one additional language (SAS, Java Lua, Clojure, Scala, etc)
- Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)
- Experience in end to end Use case delivery
- Ability to translate data narrative to business narrative
- Excellent written and verbal communication skills along with strong desire to work in cross functional teams
- Attitude to thrive in a fun, fast-paced start-up like environment
- ML Ops (Cloud Devops) is an added advantage.
- ML Ops (ML engineering running a Data Science platform) is an added advantage.
Kindly note that all positions will be filled in accordance with the Companys Employment Equity plan. We also encourage people with disabilities to [URL Removed] you not receive feedback on your application with us within a period of 2 weeks of submission, you may consider your application as being unsuccessful. Please keep an eye on our website and other career sites for future opportunities that may arise.POPIA Disclaimer: Please take note that by responding to this advertisement and providing your personal information in application thereof, you confirm your express and informed consent for Persaf Holdings (Pty) Ltd and all its subsidiaries and all affiliated companies to process your personal information; to retain your personal information on our database for future matching; to contact you when suitable opportunities arise; and that the information you have provided to us is true, correct and up to date.