Data Scientist - Bryanston, South Africa - K2 Human Capital Consultancy

K2 Human Capital Consultancy

Verified Company

Bryanston, South Africa

3 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

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, preprocessing, analysis, and visualization.
Perform exploratory data analysis, feature engineering, and data preprocessing 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 datadriven decisions.
Collaborate with crossfunctional 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.
Indepth knowledge of data preprocessing, 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.
Handson 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 problemsolving 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 nontechnical 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 preprocessing and cleaning tools (e.g., Pandas, NumPy)
Statistical analysis and modelling tools (e.g., scikitlearn, TensorFlow, PyTorch)
Version control systems (e.g., Git)
SQL for data querying and manipulation
Data visualization tools (e.g., matplotlib, seaborn)