4 Principal Data Scientist AI Ml jobs in Placements24
Job Description
Our client, a vanguard in the Scientific Research & Development arena, is seeking an accomplished Principal Data Scientist to spearhead advanced AI and Machine Learning initiatives. This critical role is situated in the scenic city of Cape Town, Western Cape, ZA . The ideal candidate will possess a profound understanding of complex algorithms, statistical modeling, and their application to solve challenging real-world problems. You will be responsible for defining the strategic direction of data science projects, leading a team of talented data scientists, and collaborating closely with engineering and product teams to integrate AI solutions. This position demands a combination of technical depth, strategic thinking, and strong leadership capabilities. We are looking for an innovator who can translate complex data insights into actionable strategies and drive significant business impact. The work involves exploring vast datasets, developing predictive models, and deploying sophisticated AI systems that push the boundaries of what's possible. Join us in shaping the future of data-driven innovation in Cape Town .
Key Responsibilities- Lead the development and implementation of advanced Machine Learning models and AI algorithms.
- Define project scope, objectives, and technical approaches for data science initiatives.
- Mentor and manage a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders across various departments to identify opportunities for AI/ML integration.
- Conduct in-depth data analysis, including feature engineering, model selection, and performance evaluation.
- Develop and deploy scalable machine learning pipelines in production environments.
- Research and implement cutting-edge AI/ML techniques and technologies.
- Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
- Ensure the ethical and responsible use of AI and data.
- Contribute to the company's intellectual property through patents and publications.
- Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related quantitative field.
- 8+ years of experience in Data Science, with a strong focus on Machine Learning and Artificial Intelligence.
- Proven track record of leading successful AI/ML projects from ideation to deployment.
- Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of deep learning, natural language processing, computer vision, and reinforcement learning.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional leadership and communication skills, with the ability to influence cross-functional teams.
- Experience in data visualization tools (e.g., Tableau, Power BI) is a plus.
- Must be eligible to work in South Africa .
Our client offers a highly competitive salary package complemented by an annual performance bonus. Comprehensive medical, dental, and vision insurance coverage is provided. A generous pension fund contribution and life assurance are part of the benefits. Significant opportunities for professional growth through advanced training, workshops, and conference attendance are available. Ample paid vacation time, including sick leave and public holidays. Access to advanced computing resources and a collaborative research environment. Relocation assistance is negotiable for exceptional candidates. A clear path for career advancement within a globally recognized R&D organization. A dynamic and inclusive workplace culture that values innovation and teamwork. Wellness programs designed to support employee well-being.
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Job Description
- Lead the design, development, and implementation of advanced machine learning models and AI algorithms.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for data-driven solutions.
- Develop and maintain robust data pipelines for model training and deployment.
- Evaluate and validate model performance, ensuring accuracy, scalability, and efficiency.
- Collaborate with software engineers and domain experts to integrate AI solutions into production systems.
- Mentor and guide junior data scientists, fostering their technical growth and development.
- Stay at the forefront of AI/ML research, exploring new methodologies and technologies.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical audiences.
- Contribute to the strategic vision for AI and data science within the organization.
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Minimum of 10 years of hands-on experience in data science and machine learning, with a strong emphasis on AI.
- Proven track record of successfully deploying machine learning models in real-world applications.
- Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various machine learning algorithms (e.g., deep learning, NLP, reinforcement learning, supervised/unsupervised learning).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong leadership and team management capabilities.
- Excellent communication and presentation skills.
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Job Description
Our client, a forward-thinking technology firm specializing in artificial intelligence and machine learning solutions, is actively searching for an exceptional Principal Data Scientist to join their esteemed team in Durban . This senior role is critical to driving innovation and developing sophisticated AI/ML models that address complex business challenges. The ideal candidate will possess a profound understanding of statistical modeling, machine learning algorithms, and data engineering principles. You will be responsible for leading high-impact projects, mentoring junior data scientists, and shaping the future of AI-driven insights for our diverse clientele. The position is based in our modern offices in Durban , offering a dynamic work environment.
Key Responsibilities- Lead the design, development, and deployment of advanced machine learning models and AI solutions.
- Develop and implement data mining algorithms and statistical models to extract valuable insights from large datasets.
- Architect and build robust data pipelines for data acquisition, cleaning, and transformation.
- Collaborate closely with engineering, product, and business teams to identify opportunities for AI/ML application.
- Conduct rigorous model evaluation, validation, and performance tuning.
- Stay at the forefront of AI/ML research and introduce novel techniques and technologies.
- Mentor and guide junior data scientists, fostering a culture of technical excellence.
- Present complex findings and recommendations to both technical and non-technical stakeholders.
- Contribute to the strategic roadmap for AI and data science initiatives within the organization.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a strong focus on machine learning and AI.
- Proven track record of successfully deploying machine learning models in production environments.
- Expertise in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of various machine learning algorithms (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving skills and the ability to think strategically.
- Outstanding communication and presentation skills, with the ability to explain complex concepts clearly.
- Demonstrated experience in leading data science projects and mentoring team members.
Our client offers a highly competitive remuneration package, including a substantial base salary, performance-based bonuses, and comprehensive benefits. This includes private health insurance, a generous retirement fund contribution, and ample paid annual leave. Employees benefit from cutting-edge technology, continuous professional development opportunities, and the chance to work on innovative projects that are shaping the future of AI. The role provides an exciting career path and the opportunity to make a significant impact from our offices in Durban .
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Job Description
- Lead the development and implementation of advanced AI/ML models for complex scientific problems.
- Design and conduct experiments to test and validate new algorithms and methodologies.
- Extract, clean, and transform large, complex datasets from diverse sources.
- Develop scalable and robust machine learning pipelines for production deployment.
- Collaborate with domain experts to identify opportunities for AI/ML application.
- Mentor junior data scientists and contribute to building a strong data science culture.
- Stay abreast of the latest research and advancements in AI, ML, and related fields.
- Communicate complex findings and technical details to both technical and non-technical stakeholders.
- Evaluate and integrate new tools and technologies to enhance data science capabilities.
- Contribute to the overall data strategy and roadmap for the organization.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a specialization in Machine Learning or AI.
- 10+ years of experience in data science, with a strong focus on developing and deploying AI/ML models in a research or industry setting.
- Proven expertise in various ML algorithms (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong statistical foundation and experience with experimental design.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience leading data science projects and mentoring teams.
- Publications in top-tier AI/ML conferences or journals are a strong plus.
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