As a Data Scientist specializing in AI development, you will leverage your expertise in data mining, machine learning, and statistical analysis to create and implement advanced AI-driven solutions.
You will work with structured and unstructured data, build predictive models, and develop machine learning algorithms to drive business growth, enhance customer experiences, and solve complex challenges.Key Responsibilities:Collaborate with clients and stakeholders to identify business challenges, propose AI-driven strategies, and implement data-driven solutions.Perform data analysis using statistical methods, hypothesis testing, and segmentation to uncover actionable insights.Design, develop, and implement machine learning algorithms and AI models to address business objectives.Build predictive models to optimize customer experience, increase revenue, and improve overall business outcomes.Enhance and optimize data collection procedures to improve data accuracy and analytical systems.Synthesize data and AI methodologies into actionable business strategies and present findings using advanced data visualization tools.Analyze large datasets, identifying trends and patterns to inform decision making and build data products.Monitor and refine machine learning models and tools to ensure high performance, scalability, and accuracy.Collaborate with cross-functional teams align AI solutions with business goals.Stay updated on emerging AI technologies, tools, and best practices to continuously improve existing systems.Required Qualifications:Proven experience in data science and AI development, with hands-on expertise in building and deploying machine learning models.Strong understanding of statistical analysis, predictive modeling, and hypothesis testing.Knowledge of data visualization tools like Tableau, Power BI, or Matplotlib.Experience with data preprocessing and working with both structured and unstructured datasets.Ability to synthesize complex data into actionable strategies and communicate effectively with stakeholders.Familiarity with cloud platforms (AWS, Azure, GCP) and tools for deploying AI models.Preferred Qualifications:Experience with natural language processing (NLP), computer vision, or deep learning techniques.Strong understanding of model performance metrics evaluation techniques.Proven ability to work in collaborative and fast-paced environments.Knowledge of big data tools like Hadoop, Spark, or Kafka.If this opportunity is a potentially good match for you, then we look forward to reviewing your application.
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