Ai Data Scientist - Predictive Modeling Specialist
Placements24
About the Role
Our client, a forward-thinking organization in AI & Emerging Technologies, is seeking a highly analytical and skilled AI Data Scientist with a specialization in Predictive Modeling. This role is based in Kimberley, Northern Cape, ZA, and is integral to developing sophisticated models that forecast trends, predict outcomes, and drive data-informed decision-making across the business. You will work with large and complex datasets, employing advanced statistical and machine learning techniques to uncover insights and build robust predictive solutions. The ideal candidate possesses strong programming skills, a deep understanding of statistical modeling, and a passion for solving challenging business problems through data science. This position requires your presence in the Kimberley, Northern Cape, ZA office.Key Responsibilities
Develop, validate, and deploy predictive models using machine learning and statistical techniques.Analyze large, complex datasets to identify patterns, trends, and actionable insights relevant to predictive tasks.Clean, transform, and prepare data for modeling purposes, ensuring data quality and integrity.Collaborate with business stakeholders to understand their needs and translate them into data science problems.Design and conduct experiments to test hypotheses and evaluate model performance.Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences.Stay current with the latest advancements in data science, machine learning, and predictive modeling techniques.Develop and maintain documentation for data science projects, models, and methodologies.Work with engineering teams to integrate predictive models into production systems.Requirements
Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.Minimum of 4 years of hands-on experience as a Data Scientist, with a strong focus on building predictive models.Proficiency in programming languages such as Python or R, and relevant data science libraries (e.G., scikit-learn, pandas, NumPy, statsmodels).Solid understanding of statistical modeling, regression analysis, time series analysis, and machine learning algorithms.Experience with data visualization tools (e.G., Matplotlib, Seaborn, Tableau).Experience querying databases using SQL.Strong analytical and problem-solving skills.Excellent communication and presentation skills.Familiarity with big data technologies and cloud platforms (e.G., Spark, AWS, Azure, GCP) is a plus.Experience with deep learning frameworks is desirable.Benefits
Our client offers a competitive salary, comprehensive health benefits, and opportunities for professional development.You will work in a dynamic environment in Kimberley, Northern Cape, ZA, contributing to impactful data-driven initiatives.Medical aida provident fundannual performance bonusesThis is an excellent opportunity to apply your predictive modeling expertise in a growing AI sector, based in our Kimberley, Northern Cape, ZA office.
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Our client, a forward-thinking organization in AI & Emerging Technologies, is seeking a highly analytical and skilled AI Data Scientist with a specialization in Predictive Modeling. This role is based in Kimberley, Northern Cape, ZA, and is integral to developing sophisticated models that forecast trends, predict outcomes, and drive data-informed decision-making across the business. You will work with large and complex datasets, employing advanced statistical and machine learning techniques to uncover insights and build robust predictive solutions. The ideal candidate possesses strong programming skills, a deep understanding of statistical modeling, and a passion for solving challenging business problems through data science. This position requires your presence in the Kimberley, Northern Cape, ZA office.Key Responsibilities
Develop, validate, and deploy predictive models using machine learning and statistical techniques.Analyze large, complex datasets to identify patterns, trends, and actionable insights relevant to predictive tasks.Clean, transform, and prepare data for modeling purposes, ensuring data quality and integrity.Collaborate with business stakeholders to understand their needs and translate them into data science problems.Design and conduct experiments to test hypotheses and evaluate model performance.Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences.Stay current with the latest advancements in data science, machine learning, and predictive modeling techniques.Develop and maintain documentation for data science projects, models, and methodologies.Work with engineering teams to integrate predictive models into production systems.Requirements
Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.Minimum of 4 years of hands-on experience as a Data Scientist, with a strong focus on building predictive models.Proficiency in programming languages such as Python or R, and relevant data science libraries (e.G., scikit-learn, pandas, NumPy, statsmodels).Solid understanding of statistical modeling, regression analysis, time series analysis, and machine learning algorithms.Experience with data visualization tools (e.G., Matplotlib, Seaborn, Tableau).Experience querying databases using SQL.Strong analytical and problem-solving skills.Excellent communication and presentation skills.Familiarity with big data technologies and cloud platforms (e.G., Spark, AWS, Azure, GCP) is a plus.Experience with deep learning frameworks is desirable.Benefits
Our client offers a competitive salary, comprehensive health benefits, and opportunities for professional development.You will work in a dynamic environment in Kimberley, Northern Cape, ZA, contributing to impactful data-driven initiatives.Medical aida provident fundannual performance bonusesThis is an excellent opportunity to apply your predictive modeling expertise in a growing AI sector, based in our Kimberley, Northern Cape, ZA office.
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Vacancy posted 1 hour ago
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