InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills