Senior Data Scientist
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you a data visionary ready to blend cutting-edge machine learning with the fast-paced world of alcohol distribution Our client a leader in the industry is revolutionizing how data powers product recommendations customer insights and operational excellence and seeks a Senior Data Scientist
Join a dynamic innovation-driven team where data meets flavour and where your expertise will directly influence consumer experiences across South Africa.
Location: Sandton-Gauteng
What Youll Do
Optimize technical design of the Product Recommender (PR) platform in consultation with the Lead Data Scientist
Take ownership of daily operation of the PR platform
Work with the Product Owner Lead Data Scientist and other technical team members to translate product requirements into technical tasks
Assist Product Owner with Sprint planning and prioritization
Coordinate technical team in line with Sprint goals
Oversee the creation of technical documentation
Review Pull Requests to ensure technical excellence
Review Sprint tasks to ensure best practices (proper descriptions acceptance criteria etc.)
Requirements
What Youll Bring:
Advanced degree in computer science statistics or related STEM field.
At least 7 years of ML engineering (or engineering support for data science) experience in an industrial / commercial setting.
Deep knowledge of ML algorithms and DS concepts.
Deep knowledge of Python software engineering and its ML stack.
Experience working with large data sets using PySpark and RDBMs.
Knowledge of application architectures and design patterns.
Proficient in development deployment and end-to-end management of ML solutions in a cloud-hosted environment.
Experience with the design and implementation of MLOps frameworks (CI/CD and continuous monitoring)
Proficient in DevOps technologies like Docker and Kubernetes.
Proficient in the use of Azure cloud services and infrastructure.
Proficient in the use of version control systems (e.g. GIT).
Experience working in an Agile environment.
Ability to effectively communicate with business stakeholders to design data products that drive value.
Professional attitude and service oriented.
If youre passionate about data machine learning and real-world impact this is where your expertise will truly shine.
Required Skills:
What Youll Bring: Advanced degree in computer science statistics or related STEM field. At least 7 years of ML engineering (or engineering support for data science) experience in an industrial / commercial setting. Deep knowledge of ML algorithms and DS concepts. Deep knowledge of Python software engineering and its ML stack. Experience working with large data sets using PySpark and RDBMs. Knowledge of application architectures and design patterns. Proficient in development deployment and end-to-end management of ML solutions in a cloud-hosted environment. Experience with the design and implementation of MLOps frameworks (CI/CD and continuous monitoring) Proficient in DevOps technologies like Docker and Kubernetes. Proficient in the use of Azure cloud services and infrastructure. Proficient in the use of version control systems (e.g. GIT). Experience working in an Agile environment. Ability to effectively communicate with business stakeholders to design data products that drive value. Professional attitude and service oriented. If youre passionate about data machine learning and real-world impact this is where your expertise will truly shine.
Company Industry
Higher Education / Education / Professional Training and Coaching / Education Administration Programs
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
