Principal Data Scientist - Big Data Analytics (Hybrid Role)

Placements24; Sandton; Hybrid; ZAR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

Hybrid work model

Professional development opportunities

Job summary

Placements24 is seeking a Principal Data Scientist in Sandton, Gauteng, to lead big data analytics initiatives. The role combines hybrid work with in-office collaboration, driving complex data science projects and mentoring a team of analysts.

You will architect advanced models, work with Spark and other big data tools, and translate insights into strategic actions for senior leadership. A PhD or Master’s and 7+ years of experience are expected.

Qualifications

• 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 focus on big data analytics and advanced modeling.
• Proficiency in Python or R and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Deep knowledge of big data platforms and distributed computing (e.g., Spark, Hive, Pig).
• Strong SQL skills and database management experience.
• Proven ability to lead projects and mentor team members.
• Experience in hybrid work environments balancing remote and in-office work.
• Prior experience in Sandton, Gauteng is advantageous.

Responsibilities

• Lead design and execution of complex data science projects from conception to deployment.
• Develop and implement advanced statistical models and ML algorithms for predictive analytics.
• Work with large datasets using big data technologies (Spark, Hadoop ecosystem).
• Extract, clean, and transform data ensuring data quality and integrity.
• Create data visualizations and dashboards for executives and cross-functional teams.
• Mentor and guide junior data scientists and analysts.
• Collaborate with engineering to build robust data pipelines and scalable solutions.
• Stay updated on advances in data science, AI, and big data tech.
• Identify opportunities to leverage data for business value.
• Present findings and strategic recommendations clearly.

Skills

Python

R

ML libraries

Big data

Spark

SQL

Leadership

Mentoring

Education

PhD or Master’s in Data Science/Statistics/CS/Math

Tools

Spark

Hive

Pig

TensorFlow

PyTorch

Scikit-learn

Job description

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.