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Senior Data Scientist

BETSoftwareCape Town, ZA

10 days ago

Job description

Job title : Senior Data Scientist

Job Location : Western Cape, Cape Town

Deadline : October 02, 2025

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Skill Set

Data Science

Business Intelligence Engineer

Development

Data Engineering

Responsibilities

Job Responsibilities :

Data Engineering

Design and manage high-throughput, low-latency data pipelines using distributed computing frameworks.

Build scalable ETL / ELT workflows using tools like Airflow and Spark.

Work with containerised environments (e.g., Kubernetes, OpenShift) and real-time data platforms (e.g., Apache Kafka, Flink).

Ensure efficient data ingestion, transformation, and integration from multiple sources.

Maintain data integrity, reliability, and governance across systems.

Data Analysis and Modelling :

Apply statistical and machine learning techniques to analyse data and translate complex data sets to identify patterns, trends and actionable insights that drive business strategy and operational efficiency.

Develop predictive models, recommendation systems, and optimisation algorithms to solve business challenges and enhance operational efficiency.

Transform raw data into meaningful features that improve model performance and translate business challenges into analytical problems providing data driven solutions.

Machine Learning and AI Development :

Build and implement advanced statistical and machine learning models to solve complex problems.

Identify data quality issues and work with data engineers to solve them.

Stay up to date with the latest advancements in AI / ML and implement best practices.

Develop, implement, and maintain scalable machine learning models for various applications.

Design and Planning Data Engineering Solutions

Design and implement testing frameworks to measure the impact of business interventions.

Design and implement scalable, high-performance big data applications that support analytical and operational workloads.

Lead evaluations and recommend best-fit technologies for real-time and batch data processing.

Ensure that data solutions are optimised for performance, security, and scalability.

Develop and maintain data models, schemas, and architecture blueprints for relational and big data environments.

Ensure seamless data integration from multiple sources, leveraging Kafka for real-time streaming and event-driven architecture.

Facilitate system design and review, ensuring compatibility with existing and future systems.

Optimise data workflows, ETL / ELT pipelines, and distributed storage strategies.

Technical Development and Innovation :

Keep abreast of technological advancements in data science, data engineering, machine learning and AI.

Continuously evaluate and experiment with new tools, libraries, and platforms to ensure that the team is using the most effective technologies.

Lead end-to-end data science and data engineering projects that support strategic goals. This includes requirements gathering, technical deliverable planning, output quality and stakeholder management.

Continuous research on to develop and implement innovative ideas and improved methods, systems and work processes which lead to higher quality and better results.

Build and maintain Kafka-based streaming applications for real-time data ingestion, processing, and analytics.

Design and implementation data lake and data warehouse data processing & ingestion applications.

Utilise advanced SQLSpark query optimisation techniques, indexing strategies, partitioning, and materialised views to enhance performance.

Work extensively with relational databases (PostgreSQL, MySQL, SQL Server) and big data technologies (Hadoop, Spark).

Design and implement data architectures that efficiently handle structured and unstructured data at scale.

Resourceful and Improving :

Find innovative ways following processes to overcome challenges, leveraging available tools, data, and methodologies effectively.

Continuously seek out new techniques, best practices and emerging trends in Data Science, AI, and machine learning.

Actively contribute to team learning by sharing insights, tools and approaches that improve overall performance.

Qualifications

Job Specification :

At least 5 years in a technical role with experience in data warehousing, and data engineering.

3-5 years’ experience across the data science workflow will be advantageous

3-5 years of proven experience as a data scientist, with expertise in machine learning, statistical analysis and data visualisation will be advantageous.

Proficiency in programming languages such as Python, Java, or Scala for data processing.

Experience with big data technologies such as Hadoop, Spark, Hive, and Airflow, PostgreSQL, MySQL, SQL server

Expertise in SQL / Spark performance tuning, database optimisation, and complex query development.

Advantageous on .net Programming (C#, C++, Java) and Design Patterns.

Living the Spirit

Adaptability & Resilience : Embrace change with flexibility, positivity, and a proactive mindset. Thrive in dynamic, fast-paced environments by adjusting to evolving priorities and technologies.

Decision-Making & Accountability : Make timely, data-informed decisions involving the team to ensure transparency and alignment. Confidently justify choices based on thorough analysis and sound judgment.

Innovation & Continuous Learning : Actively pursue new tools, techniques, and best practices in Data Science, AI, and engineering. Share insights openly to foster team growth and continuously improve performance.

Collaboration & Inclusion : Foster open communication and create a supportive, inclusive environment where diverse perspectives are valued. Empower team members to share ideas, seek help, and give constructive feedback freely.

Leadership & Growth : Lead authentically with integrity and openness. Support team members through mentorship, skill development, and creating a safe space for honest feedback and innovation. Celebrate successes and embrace challenges as growth opportunities.

Apply Before 10 / 02 / 2025

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Senior Data Scientist • Cape Town, ZA

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