Lead Data Scientist

Company Description Bitsoft International Inc. specializes in providing exceptional technology solutions and services, supported by dedicated, personalized customer service. Our commitment to building strong client relationships through reliable IT solutions has fueled our rapid growth. We are driven by the belief that excellent service and customer satisfaction go hand in hand. Join a team that values innovation, professionalism, and client success. Role Description This is a remote, contract role for a Lead Data Scientist. The Lead Data Scientist will design and implement data-driven solutions to solve complex business problems. Day-to-day responsibilities include analyzing and processing large datasets, developing predictive and descriptive models, creating impactful data visualizations, and interpreting results to inform decision-making. The role will also involve applying statistical methods and data analytics to uncover trends and patterns, enabling data-driven strategies for business success. Qualifications • Strong expertise in Data Science techniques and methodologies • Experience with Statistics and proficiency in applying statistical methods • Proficiency in AI/MI • Strong problem-solving skills and critical thinking • Familiarity with machine learning algorithms and frameworks is an advantage • Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field is preferred • Excellent verbal and written communication skills The ideal profile is someone who thinks end-to-end: from data sourcing and engineering to model deployment and continuous improvement. Experience applying these capabilities within the HR domain—such as talent analytics, attrition modeling, or workforce planning—will be a strong advantage. What sets you apart: • You approach modeling as part of a larger system, not in isolation • You actively leverage GenAI or automation tools to move faster and smarter • You are comfortable bridging data engineering and data science • You bring domain context, especially in HR or people analytics, to drive meaningful outcomes