2 Advanced Statistics Jobs

Role & responsibilities Purpose of the Role We are looking for a customer-focused & business-oriented Data Scientist who will be responsible for conducting analyses using advanced statistics and data mining techniques to enable better decision making. This role will have exposure to senior leadership teams and help Tata Motors achieve its strategic priorities. Job Responsibility Develop and drive complex projects using advanced analytic techniques. Use statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models per business need Comfortable with open-ended problems. Be able to frame your own hypothesis, create meaningful metrics, and select the modelling approach. Translate conceptual questions into data-driven analyses to allow leaders to make informed decisions Ability to extract and clean data from a variety of structured and unstructured sources and do data wrangling. Build Statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models Monitor the results of statistical models through the use of dashboards and ad hoc analyses. Effective communication skills, both written and verbal; ability to tell the story and develop executive level presentations with guidance Preferred candidate profile Desired Candidate Profile Education: Degree in Statistics, Applied Mathematics, Computer Science or other technical discipline >2 years of relevant work experience as a data scientist and solving business challenges is preferred. Skills & Competencies Strong Proficiency in programming in R, Python Strong understanding of statistical analysis, predictive modelling and data engineering techniques Deep understanding of statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models Ability to develop analytical approaches to answer high-level questions and develop insightful recommendations Exceptional attention to detail and ability to work effectively with minimal supervision

At Lilly, we are committed to uniting caring with discovery to improve the lives of people worldwide. As a global healthcare leader based in Indianapolis, Indiana, our employees strive to develop groundbreaking medicines, enhance disease management, and contribute to our communities through philanthropy and volunteerism. Our priority is putting people first, and we are seeking individuals who share our dedication to making a difference on a global scale. Eli Lilly boasts a diverse portfolio of brands available in various markets worldwide. Our brand and marketing teams rely on robust market research support to assess brand performance, identify growth opportunities, formulate marketing strategies, and recommend adjustments when needed. The role we are offering entails overseeing the coordination and implementation of global market research projects and ensuring a consistent market research process across our global product lines. The ideal candidate should possess a strong background in primary market research, a solid understanding of key business drivers, and the ability to enhance existing processes. Responsibilities include defining research objectives, creating surveys, compiling data, analyzing results, cross-referencing secondary sources, and presenting findings in a clear and concise manner. Collaboration with market researchers based in the US is crucial to align with their business needs. Key Responsibilities: - Project Execution: Leading multiple projects to ensure high-quality execution and timely delivery of quantitative market research projects. Collaborating with stakeholders to develop approaches, present findings, and make recommendations. Conducting detailed quality checks and proposing analytical methodologies for effective insights generation. - Project Management: Leading significant projects with high visibility and impact, coordinating with multiple teams and partners, and developing project plans. Ensuring compliance with necessary guidelines and educating others on analytical methodologies. - Establishing Relationships: Building key partnerships with business partners, driving discussions to meet business needs, influencing stakeholders, and developing solutions to enhance capabilities and project outcomes. Education Requirements: MBA/Post Graduation from a Tier-I institution Experience Requirements: 4 to 8 years of experience in quantitative disciplines, advanced statistics, consulting organizations, pharma or healthcare consulting companies, with a track record of success in executing projects in dynamic environments. Technical Skills: - Proficiency in quantitative market research and data analysis - Strong statistical and analytical background, including experience with techniques like Conjoint Analysis, Customer Segmentation, Bayesian Networks, Regression & Correlation, Pricing, and Factor Analysis - Familiarity with statistical packages (SPSS, Q, etc.) and commercial databases (MIDAS, LAAD, APLD) - Experience with tools like R, Python, Tableau, Power BI for data visualization and reporting - Ability to integrate research, intelligence, and alternative datasets to generate actionable insights Soft Skills: - Strong work ethic, personal motivation, and a results-oriented approach - Team player with proven teamwork and collaboration skills - Detail-oriented with analytical problem-solving abilities - Effective interpersonal and communication skills - Self-driven with the capability to present and defend analyses effectively At Lilly, we are dedicated to fostering inclusivity and providing equal opportunities for individuals with disabilities in the workforce. If you require accommodation to apply for a position at Lilly, please complete the accommodation request form for further assistance. Please note that this process is specifically for requesting accommodations during the application process.,