Principal Data Scientist - Big Data Analytics (Hybrid Role)
Summary
A principal-level data scientist leads big data analytics initiatives at a client's Sandton office (hybrid), designing statistical and ML models on large-scale datasets, building dashboards for executives, mentoring analysts, and partnering with engineering on scalable data pipelines. Core stack includes Python/R, SQL, and Spark/Hadoop technologies.
About the Role
Our client, a prominent leader in data-driven strategy and innovation, is seeking a highly experienced Principal Data Scientist to spearhead their big data analytics initiatives. This role operates under a hybrid model, offering a balance of remote flexibility and essential in-office collaboration at their Sandton, Gauteng location. You will be responsible for architecting and implementing advanced analytical solutions, leveraging large-scale datasets to uncover critical business insights and drive significant growth. The ideal candidate possesses a profound understanding of statistical modeling, machine learning, big data technologies, and a proven ability to translate complex data into actionable strategies. This is a challenging and rewarding opportunity to lead impactful data science projects and mentor a team of talented analysts.
Key Responsibilities
- Lead the design and execution of complex data science projects from conception to deployment.
- Develop and implement advanced statistical models and machine learning algorithms for predictive and prescriptive analytics.
- Work with large, disparate datasets using big data technologies (e.g., Spark, Hadoop ecosystem).
- Extract, clean, and transform data from various sources, ensuring data quality and integrity.
- Create sophisticated data visualizations and dashboards to communicate findings to executive leadership and cross-functional teams.
- Mentor and guide junior data scientists and analysts.
- Collaborate with engineering teams to build robust data pipelines and scalable analytical solutions.
- Stay abreast of the latest advancements in data science, AI, and big data technologies.
- Identify new opportunities for leveraging data to drive business value.
- Present complex findings and strategic recommendations clearly and concisely.
Requirements
- PhD or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of professional experience in data science, with a strong focus on big data analytics and advanced modeling.
- Expert-level proficiency in programming languages such as Python or R, and extensive experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Deep knowledge of big data platforms and tools (e.g., Spark, Hive, Pig) and distributed computing concepts.
- Strong SQL skills and experience with database management.
- Demonstrated ability to lead projects and mentor team members.
- Excellent communication, presentation, and interpersonal skills.
- Experience working in a hybrid environment, balancing remote and in-office responsibilities effectively.
- Prior experience within the Sandton, Gauteng business or data analytics community is a significant advantage.
Benefits
- Our client offers a highly competitive salary, a comprehensive benefits package including excellent medical coverage, retirement plans, and performance-based bonuses.
- The hybrid work arrangement supports work-life balance.
- We provide significant opportunities for professional development, including access to cutting-edge training, workshops, and conferences.
- Join a prestigious organization where your expertise in big data and analytics will drive strategic decision-making and innovation.