Data Scientist

This role is for one of Weekday’s clients Min Experience: 4 years Location: Hyderabad JobType: full-time Requirements We are seeking a highly skilled and motivated Data Scientist with over 4 years of professional experience to join our growing analytics and AI-driven team. The ideal candidate will bring deep expertise in data analysis, statistical modeling, and machine learning, combined with strong problem-solving abilities and business acumen. You will play a pivotal role in leveraging data to generate actionable insights, build predictive models, and optimize decision-making across the organization. This role demands a mix of technical proficiency, creativity, and business sense. You will collaborate with cross-functional teams—including product managers, engineers, and business stakeholders—to design and implement data-driven solutions that solve complex business challenges. Key Responsibilities - Data Analysis & Exploration - Collect, clean, and preprocess structured and unstructured data from multiple sources. - Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights. - Ensure data quality, consistency, and integrity throughout the analytics pipeline. - Model Development & Machine Learning - Design, develop, and deploy machine learning models to address business problems. - Apply advanced statistical methods and algorithms, including regression, classification, clustering, recommendation, and natural language processing. - Optimize and validate models using cross-validation, performance metrics, and real-world testing. - - Business Insights & Decision Support - Translate complex data findings into clear and actionable recommendations for stakeholders. - Build dashboards, reports, and visualizations to communicate insights effectively. - Partner with business units to drive data-informed strategies that enhance growth and efficiency. - Collaboration & Innovation - Work closely with data engineers to design scalable data pipelines and infrastructure. - Collaborate with product and engineering teams to integrate models into production systems. - Stay updated with the latest advancements in data science, AI, and machine learning to continuously innovate. - Process Improvement & Governance - Promote best practices in data science, including reproducibility, version control, and model monitoring. - Ensure compliance with data privacy, security, and regulatory standards. - Contribute to developing frameworks, tools, and methodologies that streamline analytics initiatives. Required Skills & Qualifications - Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Applied Mathematics, or related fields. - Minimum 4+ years of hands-on experience as a Data Scientist or in a similar role. - Strong expertise in Python, R, or SQL for data analysis and modeling. - Proficiency in machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, or Keras. - Experience working with large datasets, data warehouses, and cloud platforms (AWS, GCP, Azure). - Solid knowledge of data visualization tools like Tableau, Power BI, or matplotlib/seaborn. - Strong problem-solving skills, analytical thinking, and the ability to translate business needs into technical solutions. - Excellent communication and storytelling skills to present complex results in a clear, concise manner to non-technical stakeholders.