Data Scientist

Data ScientistWe are seeking a highly skilled and motivated Data Scientist to join our team and help drive data-based decision-making across the organization. The ideal candidate will possess strong analytical skills, advanced proficiency in Python, R, and SQL, and a solid understanding of machine learning techniques and statistical modeling. This role will support ongoing analytics initiatives and partner with cross-functional teams to solve complex business problems using data.Key Responsibilities:Analyze large, complex datasets to extract insights and inform business decisions.Develop, implement, and optimize predictive models using machine learning techniques.Clean, process, and validate data to ensure accuracy and reliability.Perform ad-hoc analysis and present results in a clear, actionable format.Collaborate with stakeholders to define data requirements and translate them into analytical solutions.Enhance data collection procedures and extend internal datasets with third-party data as needed.Develop tools and workflows to support broader data science and data engineering initiatives.Assist IT in implementing a new Data Lake infrastructure.Use SQL, Python, Excel, Tableau, or Power BI for reporting and visualization tasks.Required Qualifications:Bachelor's degree in Data Science, Analytics, Computer Science, or a related field.3–7 years of professional experience in a Data Scientist or related analytics role.Strong programming skills in Python, R, and SQL (Advanced).Deep understanding of statistical methods, probability theory, and evaluation metrics.Proficiency with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras).Experience with data wrangling, model development, and feature selection.Strong problem-solving and critical-thinking skills.Business acumen with the ability to translate business challenges into data solutions.Experience in Agile development environments.Excellent communication, collaboration, and presentation skills.Preferred Qualifications:Experience with data visualization tools such as Tableau, Power BI, or D3.js.Familiarity with Natural Language Processing (NLP) and Deep Learning techniques.Background in business services or manufacturing industries.Experience supporting implementation of data lakes or enterprise-level data platforms.Interview Process:First Round – Business & Technical Team (1 session of 90 minutes or 2 sessions of 45 minutes)Second Round – Leadership Interview (as needed)