SimplifyX™

About Us At SimplifyX™, we're reinventing how software is built and how enterprises operate. Our Agentic AI platform orchestrates intelligent, deterministic agents that work seamlessly across workflows in healthcare, banking, and manufacturing — delivering outcomes that are explainable, auditable, and adaptive. We’re seeking a Senior Data Scientist who can fuse analytical rigor with creative problem-solving — designing reasoning frameworks, interpretability models, and feedback systems that drive continuous agent evolution. Role Description - Data Preprocessing: Organize, categorize, and prep data for processing. Identify incomplete, incorrect, inaccurate or irrelevant portions of data and interpret, cleanse or replace/deleted them as needed. - Advanced Data Analysis: Utilize advanced statistical techniques to analyze complex, large sets of data, and extract actionable insights that will help drive decision-making processes across various functions of the business. - Model Development: Develop, refine, and implement machine learning algorithms and statistical models that will help create data-driven solutions to business problems. Also responsible for validating and testing these models to ensure accuracy. - Collaboration: Work closely with the team of engineers and product designers to understand technical and business requirements, convert these to analytic solutions, and integrate them into our product suite. - Insight-Driven Business Decisions: Utilize and translate complex results from the data analyses and models into strategic recommendations for both technical and non-technical stakeholders. - Presentations: Represent the data science team in cross-functional teams to ensure correct and impactful data science principles are incorporated. Effectively present complex statistical concepts and results, as well as their implications, to a non-technical audience. - Mentoring and Leadership: Provide mentorship and guidance to junior data scientists in the team, educate them on best practices, and guide them in their career paths. Qualifications - Minimum of five years of working experience as a data scientist. - Strong knowledge of machine learning models, data mining, and databases. - Experience with programming languages such as Python, SQL, etc. - Exceptional problem-solving skills, attention to detail, and a team player. - Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. - Experience in mentoring junior data scientists or leading a data science team is preferred.