11 Principal Data Scientist jobs in Placements24

• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and insights that drive business value.
• Develop and deploy predictive models for forecasting, classification, clustering, and recommendation systems.
• Design and execute A/B tests and other experimental designs to validate hypotheses and measure impact.
• Communicate complex findings and recommendations clearly and concisely to technical and non-technical audiences.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Mentor and guide junior data scientists, fostering their technical and analytical development.
• Stay current with the latest research, techniques, and technologies in data science and machine learning.
• Contribute to the definition and evolution of the company's data science roadmap and best practices.
• Identify opportunities for leveraging data science to solve business challenges and create competitive advantages.

• Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or a related discipline.
• 5+ years of progressive experience in data science, with a strong track record of delivering impactful analytical solutions.
• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, deep learning, NLP), and experimental design.
• Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Experience with big data technologies and platforms (e.g., Spark, Hadoop).
• Strong SQL skills and experience working with large databases.
• Excellent data visualization and communication skills.
• Demonstrated ability to lead complex projects and mentor junior team members.
• Experience deploying machine learning models into production environments.
• Ability to think critically and solve complex problems independently.

• Highly attractive salary and performance-based incentives.
• Comprehensive medical, dental, and vision coverage.
• Generous retirement savings plan with matching contributions.
• Significant opportunities for professional growth, attending conferences, and further education.
• Fully remote work arrangement for enhanced flexibility.
• Chance to work on cutting-edge AI and machine learning projects.
• Collaborative and intellectually stimulating work environment.
• Regular opportunities for research and innovation.
• Company-sponsored learning resources and access to advanced tools.
• Contribution to shaping the future of analytics in Centurion, Gauteng .

• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and insights that drive business value.
• Develop predictive models for forecasting, classification, and optimization across various business functions.
• Collaborate with stakeholders from different departments to understand business needs and translate them into data science solutions.
• Mentor and guide junior data scientists, fostering a culture of learning and technical excellence.
• Communicate complex analytical findings and recommendations to both technical and non-technical audiences through clear visualizations and reports.
• Evaluate and implement new data science technologies and methodologies.
• Ensure the integrity, accuracy, and scalability of data science solutions.
• Contribute to the strategic direction of data science initiatives within the organization.

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of progressive experience in data science or a similar analytical role.
• Demonstrated expertise in statistical modeling, machine learning, deep learning, and data mining.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience with SQL and working with large datasets from various sources.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to lead projects and mentor team members.
• Exceptional communication and presentation skills.
• Experience working in a client-facing role or within a consultancy environment is advantageous.

• Lead the design, development, and implementation of advanced machine learning models and statistical analyses.
• Explore, clean, and preprocess large, complex datasets from various sources.
• Identify opportunities for leveraging data to drive business value and product innovation.
• Develop and deploy production-ready machine learning pipelines and algorithms.
• Evaluate and benchmark model performance, ensuring accuracy and reliability.
• Mentor and guide junior data scientists and analysts.
• Collaborate with engineering teams to integrate models into production systems.
• Communicate complex findings and insights clearly to stakeholders at all levels.
• Stay abreast of the latest research and advancements in data science and AI.
• Conduct A/B testing and experimental design to validate hypotheses.

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or related discipline.
• 8+ years of hands-on experience in data science, with a focus on machine learning and statistical modeling.
• Expert proficiency in programming languages such as Python or R, and associated data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Demonstrated experience in deploying machine learning models into production environments.
• Proven ability to lead complex data science projects from start to finish.
• Excellent understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Strong analytical and problem-solving skills.
• Exceptional communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Annual salary of ZAR, commensurate with experience.
• Opportunity to lead impactful projects in a cutting-edge field.
• Comprehensive medical aid, including coverage for dependents.
• Generous leave allowance and company holidays.
• Support for attending international conferences and workshops.
• Access to advanced computing resources and datasets.
• Professional development programs and continuous learning opportunities.
• Retirement savings plan with company matching.
• On-site amenities and a modern office environment in Centurion .
• Performance bonuses and recognition awards.

• Lead the design, development, and deployment of advanced machine learning models and statistical analyses.
• Identify opportunities for leveraging data to drive business value and create competitive advantages.
• Clean, process, and transform large, complex datasets from various sources.
• Develop and implement predictive models, classification algorithms, and clustering techniques.
• Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to build and train models.
• Interpret model results, communicate findings, and provide strategic recommendations to stakeholders.
• Mentor and guide junior data scientists, fostering a culture of technical excellence and innovation.
• Collaborate with data engineers and software developers to integrate data science solutions into production systems.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Ensure the ethical and responsible use of data in all analytical activities.

• A Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• A minimum of 7 years of professional experience in data science or machine learning, with demonstrated leadership capabilities.
• Proven expertise in statistical modeling, predictive analytics, and machine learning algorithms.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, SciPy).
• Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Strong SQL skills and experience working with large datasets.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
• Experience working in a remote team environment is preferred.

• Lead the design, development, and deployment of advanced machine learning models and statistical analyses.
• Identify opportunities for data-driven innovation and translate business problems into data science solutions.
• Clean, preprocess, and transform large, complex datasets from various sources.
• Develop and implement algorithms for prediction, classification, clustering, and other data mining tasks.
• Evaluate model performance, iterate on solutions, and ensure reproducibility.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Mentor and guide junior data scientists, fostering a culture of learning and collaboration.
• Stay abreast of the latest research and advancements in data science and machine learning.
• Collaborate with engineering teams to integrate models into production systems.

• Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or Physics.
• Proven track record of 7+ years in data science or a related field, with demonstrated success in leading complex projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong understanding of data visualization techniques and tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and interpersonal skills, with the ability to explain complex concepts clearly.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Must be self-motivated and able to work effectively in a fully remote setting.

• Exceptional annual compensation package up to ZAR .
• Fully remote work offering maximum flexibility and work-life balance.
• Significant opportunities for research and innovation.
• Professional development and conference attendance support.
• Access to high-performance computing resources.
• Collaborative and intellectually stimulating remote team environment.
• Comprehensive health and wellness benefits.

• Lead the design, development, and deployment of sophisticated machine learning models and algorithms.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and implement statistical models for forecasting, classification, and regression.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Evaluate and experiment with new data science tools and techniques.
• Ensure the quality, accuracy, and integrity of data used for analysis and modeling.
• Stay abreast of the latest advancements in artificial intelligence, machine learning, and data science.

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or equivalent.
• Extensive experience (5+ years) as a Data Scientist with a proven track record of delivering impactful solutions.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages like Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Strong experience with SQL and working with large-scale data processing frameworks (e.g., Spark, Hadoop).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving, critical thinking, and analytical skills.
• Strong communication and presentation skills, with the ability to explain complex concepts effectively.
• Experience leading data science projects and mentoring teams.

• Highly competitive salary and performance-based bonuses.
• Opportunity to work on groundbreaking data science challenges.
• Access to advanced tools and computing resources.
• Generous professional development budget.
• Collaborative and intellectually stimulating work environment.
• Potential for significant impact and career growth.

Our client, a leading analytics and business intelligence firm operating in Welkom, Free State , is looking for an exceptional Principal Data Scientist to lead their advanced analytics initiatives. This senior role involves leveraging complex datasets to extract actionable insights, build predictive models, and drive data-driven decision-making across the organization. You will be at the forefront of developing sophisticated algorithms and machine learning solutions that address critical business challenges. The ideal candidate is a thought leader with a proven track record in statistical modeling, machine learning, and data visualization. This position offers a significant opportunity to influence strategic direction and mentor a team of talented data professionals in the Welkom area.

• Lead the design and execution of complex data science projects from inception to deployment.
• Develop and implement advanced statistical models and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Perform exploratory data analysis, feature engineering, and data mining on large, diverse datasets.
• Validate and refine models, ensuring accuracy, interpretability, and robustness.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with engineering teams to operationalize models into production systems.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data strategy and best practices within the organization.

• Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, or related discipline.
• 8+ years of experience in data science or machine learning, with significant experience in a lead or principal role.
• Expertise in programming languages like Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
• Deep understanding of statistical concepts, machine learning algorithms, and model evaluation techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Proficiency in data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills, with experience presenting to senior management.
• Experience working in a hybrid model, collaborating effectively both remotely and with the Welkom, Free State team.

Our client offers an attractive compensation package, including a performance-based bonus structure, comprehensive health and wellness benefits, and a generous retirement plan. We provide ample opportunities for professional growth, including funding for conferences, workshops, and advanced training. The hybrid work model allows for a flexible balance between remote work and in-office collaboration in our modern facilities in Welkom . Join a team that is passionate about data and dedicated to making a difference. Our client values intellectual curiosity and encourages innovative thinking.

Our client, a cutting-edge analytics firm renowned for its innovative data solutions, is looking for a distinguished Principal Data Scientist to join their esteemed team. This senior role, based remotely but serving clients globally, will focus on developing and deploying advanced machine learning models and data-driven strategies to solve complex business problems. You will be at the forefront of data science innovation, driving projects from conception through to production, and mentoring a team of talented data scientists. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field, extensive experience in statistical modeling, machine learning, and big data technologies, and a passion for uncovering insights from vast datasets. This is a fully remote position, offering the flexibility to work from anywhere, and presents an unparalleled opportunity to shape the future of data science within a highly respected organization. We are dedicated to pushing the boundaries of what's possible with data and seek individuals who share this ambition.

• Lead the design, development, and implementation of sophisticated machine learning models and algorithms.
• Extract, clean, and transform large, complex datasets from various sources.
• Perform in-depth statistical analysis and hypothesis testing to derive actionable insights.
• Develop predictive models for forecasting, classification, and clustering.
• Deploy machine learning models into production environments using MLOps best practices.
• Collaborate with cross-functional teams to understand business needs and define data science project scope.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
• Evaluate and integrate new data science tools and technologies.
• Contribute to research and development efforts, staying at the forefront of the field.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 8+ years of hands-on experience in data science, machine learning, and statistical modeling.
• Expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn.
• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Strong understanding of various machine learning techniques (e.g., deep learning, NLP, reinforcement learning).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Demonstrated ability to deploy and manage models in production (MLOps).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Superior communication and presentation skills, with the ability to explain complex concepts.
• Proven track record of delivering impactful data science solutions.

• Highly competitive salary and performance bonuses.
• Comprehensive health and wellness benefits package.
• Generous professional development budget and conference attendance.
• Flexible remote work environment with a home office stipend.
• Opportunity to work on challenging and impactful projects globally.
• Collaborative and intellectually stimulating virtual team culture.
• Access to state-of-the-art data science tools and platforms.
• Regular virtual team-building events and knowledge-sharing sessions.