Applied Data Scientist

Bain & Company is hiring for the role of Applied Data Scientist! Responsibilities of the Candidate: • Clean, harmonize and prepare large past client datasets (multi-wave, multi-region, industry, size bands) for analysis • Conduct extensive analysis independently from large datasets using statistical techniques such as regression, tree-based models, partial-dependence etc. and present findings to senior stakeholders with proper facts and figures • Work cross-functionally with Practice stakeholders, BCN teams, other survey/ data experts to ensure data & model integrity, and to understand business/client context • Build reports, presentations, dashboards for internal stakeholders and external marketing/editorial use: summarizing insights, visualizing trends, producing clear narratives. • Become an expert and own, maintain and help evolve advanced AI based tools by testing and verifying results confidence as well as help develop new tools, in individual capacity • Design and execute statistical tests to validate synthetic-data generators and non-survey predictive models (distributional tests, reliability/validity tests, correlation structure checks, hold-out testing) • Be responsible for end-to-end handling of any new tool testing process, i.e., determining statistical testing methods, troubleshooting low scores, presenting findings, leading brainstorming discussions, etc. • Help with case delivery related to those tools and generate meaningful insights for Bain clients • Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team s innovation, especially on data statistics topics • Lead internal team calls and effectively communicate data, knowledge, insights and actionable next steps on tool development, relaying implications to own internal team where necessary • Keep abreast of statistical and methodological advances relevant to surveys, diagnostic tools, synthetic-data methods, relevant software/tools, and advanced data analytics techniques Requirements: • Candidate should be a Economics/ Statistics/ Mathematics Graduate/ Post-graduate from top-tier college with strong academic background • Must have 2-3 years of professional experience focused on statistics/data analytics (ideally within consulting, market research, organizational diagnostics or data science) • Strong foundation in statistical theory and methods (e.g., hypothesis testing, regression, mixed-models, reliability/validity, sampling) • Hands-on experience with statistical software (e.g., Python (pandas/ statsmodels /scikit-learn) , or similar) and data-manipulation tools • Experience with synthetic-data generation using AI and/or model validation frameworks (predictive, reliability, fairness) • Good to have - experience working with survey data (Likert-scales, national/international datasets, multi-wave) and performing benchmark/norming analyses • Good to have - Experience building or validating predictive/statistical models (preferably including synthetic data generation or simulation work) is a strong plus • Ability to manage multiple work-streams, meet deadlines, and maintain high quality and accuracy in deliverables • Good business acumen and ability to work collaboratively in a consulting-style environment • Must be able to generate and screen realistic answers based on sound reality checks and recommend actionable solutions • Must be willing to own and maintain high visibility and high impact product • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders