Data Scientist / AI Specialist

Job Title: Data Scientist / AI Specialist Location: Jalan PJS 8/9, 46150 Petaling Jaya, Selangor Job Summary: We are looking for a skilled Data Scientist / AI Specialist to join our team. You will be responsible for applying advanced analytical and machine learning techniques to solve complex problems, build predictive models, and extract insights from structured and unstructured data. You will also play a key role in developing AI solutions that improve decision-making, operational efficiency, and overall business performance. Key Responsibilities: Data Collection and Analysis: Collect, clean, and preprocess large datasets from various sources (e.g., databases, APIs, external data sources). Perform exploratory data analysis (EDA) to identify patterns, trends, and insights. Work with structured, unstructured, and time-series data. Model Development and Evaluation: Design, develop, and implement machine learning models, deep learning algorithms, and AI-based solutions. Select and implement appropriate algorithms for classification, regression, clustering, and other tasks. Tune models and algorithms to improve accuracy, performance, and efficiency. Evaluate model performance using various metrics and validation techniques (e.g., cross-validation, A/B testing). AI Solution Design and Implementation: Design and implement AI systems and frameworks to automate tasks and enhance decision-making capabilities. Work on developing intelligent systems, such as recommendation engines, natural language processing (NLP) models, and computer vision systems. Collaborate with engineering teams to integrate AI models into production systems. Data Visualization and Reporting: Visualize and communicate insights from data using charts, graphs, and other visual representations. Create clear and concise reports or dashboards that communicate findings to stakeholders. Present analytical results and model outputs to non-technical stakeholders, explaining their implications. Research and Development: Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. Conduct research into new algorithms, tools, and technologies in the AI and machine learning space. Experiment with new methodologies to improve the accuracy and performance of models. Collaboration and Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and requirements. Translate business problems into analytical tasks and provide actionable insights. Assist in defining the AI strategy and roadmap in collaboration with key stakeholders. Automation and Optimization: Automate repetitive data-related tasks, such as data extraction, cleansing, and preprocessing, using scripts and tools. Develop and implement algorithms to optimize business processes and decision-making workflows. Big Data Technologies: Work with big data platforms and technologies, such as Hadoop, Spark, and NoSQL databases, to handle and process large datasets. Develop efficient data pipelines for data ingestion, processing, and analysis. Ethical AI: Ensure the ethical use of AI and machine learning models by adhering to privacy policies, data protection regulations, and fairness considerations. Advocate for transparency and explainability in AI models and decisions. Skills and Qualifications: Technical Skills: Programming: Proficiency in Python, R, SQL, or other relevant programming languages. Machine Learning Algorithms: In-depth knowledge of supervised and unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision techniques. Data Wrangling: Strong ability to clean, preprocess, and transform raw data into usable formats. Statistical Analysis: Knowledge of statistical methods, hypothesis testing, and data distributions. AI Tools and Frameworks: Experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, and XGBoost. Data Visualization: Experience with visualization tools like Tableau, Power BI, Matplotlib, Seaborn, and Plotly. Big Data Technologies: Familiarity with big data platforms such as Hadoop, Spark, and Databricks. Cloud Computing: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for scaling machine learning models. Version Control: Proficiency with Git for version control. Soft Skills: Analytical Thinking: Strong problem-solving skills to break down complex problems and identify solutions using data-driven approaches. Communication: Ability to present complex data findings in a simple, understandable manner for both technical and non-technical stakeholders. Collaboration: Strong interpersonal skills for working with cross-functional teams. Project Management: Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment. Curiosity and Continuous Learning: A passion for learning new techniques, tools, and methodologies in data science and AI. Qualifications: Bachelor's or Master's Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. 2+ years of experience as a Data Scientist, AI Specialist, or in a related field. A strong portfolio of completed data science projects or AI solutions, with practical examples of machine learning models and their impact. Preferred Qualifications: PhD or advanced degree in a technical field related to AI or machine learning. Experience in natural language processing (NLP) or computer vision. Experience with AI model deployment and production systems. Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). What We Offer: Competitive salary and benefits package. Opportunities to work with cutting-edge technologies in the AI and machine learning space. Professional growth and development within a collaborative and innovative environment. A culture of continuous learning and problem-solving. How to Apply: Please submit your resume, along with any relevant case studies or project portfolios that demonstrate your expertise in data science and AI. We look forward to reviewing your application!