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.