Data Scientist

**Job Summary**: We are seeking a highly skilled and experienced Data Scientist to join our team and contribute to the development and implementation of a PowerBI solution on the Azure platform. As a Data Scientist, you will be responsible for utilizing advanced analytics, machine learning, and statistical modelling techniques to extract insights from data, build predictive models, and drive data-driven decision-making. Your expertise in data analysis, modelling, and visualization will play a crucial role in enhancing our PowerBI solution and delivering valuable insights to our stakeholders.

**Duties and Responsibilities**
- Collaborate closely with business stakeholders to understand their requirements, identify key challenges, and define project goals and success criteria.
- Design and develop complex machine learning models and algorithms using techniques such as regression, classification, clustering, and time series analysis.
- Utilize programming languages such as Python and R, along with machine learning libraries and frameworks, to build and deploy scalable and efficient data science models.
- Leverage Azure services, including Azure Machine Learning, Azure Databricks, Azure Data Factory, and Azure Data Lake Storage, to facilitate data ingestion, pre-processing, analysis, and visualization.
- Perform exploratory data analysis, feature engineering, and data pre-processing tasks to ensure data quality and optimize model performance.
- Create visually compelling and interactive dashboards and reports using PowerBI, enabling stakeholders to gain insights and make data-driven decisions.
- Collaborate with cross-functional teams, including data engineers and developers, to integrate data science models into the PowerBI solution and ensure seamless data flow and integration.
- Conduct thorough evaluations and assessments of model performance, iterate on models to improve accuracy and efficiency, and implement appropriate validation and testing procedures.
- Stay updated with the latest advancements in data science, machine learning, and Azure technologies, and proactively explore innovative solutions to enhance the PowerBI solution.
- Provide guidance, mentorship, and knowledge sharing to junior data scientists, fostering their professional growth and contributing to the overall team's success.
- Maintain comprehensive documentation of the project, including model design, implementation details, data pipelines, and deployment processes.

**Qualification Required**:

- Bachelor’s degree or higher in Data Science, Statistics, Computer Science, or a related field.

**Experience Required**:

- Minimum of 6 years of professional experience as a Data Scientist, with a focus on developing and implementing data science solutions using Azure and PowerBI.
- Strong expertise in statistical modelling, machine learning algorithms, and data visualization techniques.
- Proficiency in programming languages such as Python and R, with experience in using relevant libraries and frameworks for machine learning.
- Strong experience with Azure services, including Azure Machine Learning, Azure Databricks, Azure Data Factory, and Azure Data Lake Storage.
- In-depth knowledge of data pre-processing, feature engineering, and exploratory data analysis.
- Strong experience in creating interactive and visually appealing dashboards and reports using PowerBI.
- Familiarity with SQL and the ability to query and manipulate data for analysis and modelling tasks.
- Hands-on experience with Databricks for scalable data processing, analysis, and model development.
- Solid understanding of cloud computing concepts and experience working with Azure or other cloud platforms.
- Excellent problem-solving and analytical skills, with a focus on delivering practical and impactful solutions to business challenges.
- Strong communication and presentation skills, with the ability to effectively convey complex concepts and insights to technical and non-technical stakeholders.
- Proven track record of successfully delivering data science projects within tight deadlines and managing project resources effectively.

**Knowledge, Skills and Abilities**
- Power BI
- Azure Data Lake
- Azure Databricks
- Azure SQL Database
- Azure Machine Learning
- Azure Data Factory
- Python or R programming languages
- Data pre-processing and cleaning tools (e.g., Pandas, NumPy)
- Statistical analysis and modelling tools (e.g., scikit-learn, TensorFlow, PyTorch)
- Version control systems (e.g., Git)
- SQL for data querying and manipulation
- Data visualization tools (e.g., matplotlib, seaborn)

**Job Type**: Temporary
Contract length: 6 months

**Salary**: R400,000.00 - R500,000.00 per year

Ability to commute/relocate:

- Bryanston, Gauteng: Reliably commute or planning to relocate before starting work (required)

Application Deadline: 2023/06/16