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The Analytics and Modeling Manager leads the delivery of advanced analytics solutions and manages a team to solve complex business problems for clients. The role involves utilizing statistical modeling, machine learning, and data science techniques to provide actionable insights across various industries.
Builds and applies statistical models and machine learning to deliver data-driven insights and solutions for clients across industries like finance, healthcare, and retail.
Develops ML algorithms for semiconductor equipment to detect anomalies, predict failures, and automate control systems; bridges customer needs with technical solutions.
Senior Data Scientist developing and deploying ML/DL models using Python, TensorFlow, PyTorch, and Spark, with Cloud MLOps experience on Azure/AWS/GCP and technical leadership duties.
Senior Data Scientist at an HR tech company in Bangkok, building and maintaining core features like CV parsing, candidate recommendation engines, and social media enrichment using Python, NLP, and machine learning on AWS.
Build and optimize ML models to solve business problems for a blue-collar on-demand staffing platform using Python, Spark, and cloud tools.
Data Scientist Intern focused on improving datasets, uploading data to PostgreSQL or BigQuery, conducting ML research, building dashboards, and analyzing results using SQL and Python/R.
The Data Scientist will manage the end-to-end data science lifecycle, including developing and deploying AI and LLM solutions. The role requires proficiency in Python or R, deep learning frameworks, and NLP techniques to solve business challenges.
The Enterprise Data Analytics/Data Science professional will design data models, build ETL pipelines, and create visualization dashboards to drive strategic business insights. The role focuses on data governance and optimization modeling within the maritime logistics sector.
This role involves leading the research, design, and deployment of LLM-powered and Agentic AI solutions to address clinical and operational challenges in a healthcare setting. The position requires expertise in building automated data pipelines, RAG systems, and multi-agent orchestration frameworks.
This role involves assembling complex datasets, performing data mining and exploratory analysis, and communicating insights to stakeholders to support data-driven decision-making in a healthcare context. The position requires proficiency in Python or R and experience with data analysis tools and infrastructure.
The Data Science Engineer will develop, validate, and deploy machine learning, deep learning, and generative AI models for production environments. The role involves building data pipelines, performing data validation, and maintaining analytical systems using Python and SQL.
The Data Science Engineer (IoT) designs, develops, and maintains IoT systems, including hardware-software integration, data pipelines, and edge device optimization. The role requires proficiency in Python and experience with microcontrollers, sensors, and IoT communication protocols.
The Data Scientist will analyze plasma dry etch process data to troubleshoot customer issues and optimize manufacturing performance using machine learning and statistical modeling. The role involves collaborating with field engineering teams and training local staff on analytics tools like JMP and KNIME.
Minimum Requirements: Matric (Grade 12) At least an undergraduate degree in relevant field and 2+ years of relevant work experience Or a master's degree in a relevant field Responsibilities: Primarily provide…
Responsibilities: To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights,…
Location: Johannesburg (on-site) Position Type: Permanent Travel Required: Yes JOB PURPOSE The Data Scientist is responsible for applying advanced analytical and machine learning techniques to solve complex business…
Key purpose: As a data scientist, you'll work closely with the business and our partners to analyse and understand patterns in customer behaviour. You will identify new insights that can be used by the business for…
Role Purpose Derive business value from data through systematic analysis and interpretation. Proactively source data from multiple suppliers and conduct advanced statistical and analytical work to extract actionable…
Data Scientist Minimum Requirements: Matric (Grade 12) Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Minimum of 5 years of professional experience in data science or a…
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