3 Bayesian Networks Jobs

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.,

Lowes is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts, and providing disaster relief to communities in need. Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. Lowes India plays a pivotal role in transforming home improvement retail while upholding a strong commitment to social impact and sustainability. The Customer Insights team at Lowes uses data and analytics capabilities to provide strategic insights around customer and competitive landscape to help drive effective market strategy. The team works closely with various key functions across the business to provide insights and recommendations across different business areas. They track, report, and analyze various customer and market-related metrics to generate actionable insights on key customer segments, customer experience, and market position. The primary responsibility of the Customer Insights Analyst is to report, analyze, and provide insights on Customer Experience at Lowes across selling channels, customer segments, and product categories. The individual will apply analytical methods to combine internal and external data and analyze trends in Customer Experience Metrics and the factors that drive improvement in those metrics. Responsibilities include analyzing Customer feedback, LTR, NPS data to understand in-market trends, working with the US team to define reporting/analysis needs, identifying key customer trends through various analysis techniques, synthesizing disparate data sources to develop cohesive stories, and providing holistic insights on Customer Experience trends and Strategy. The ideal candidate should have 3-5 years of hands-on experience in Customer Experience Analytics/Customer Analytics/Customer Insights. A Masters degree in Economics/Statistics/Analytics or an MBA in Marketing is required. Primary skills should include hands-on experience in SQL, Teradata, Hadoop, Python, building Statistical/Mathematical models, and multivariate analysis. Consulting skills and excellent communication skills are essential to impact business decisions through analytics and research. Experience with text data, Customer Experience or Voice of Customer Metrics, and familiarity with the retail industry are desired skills for this role. The candidate should be proactive in applying modern tools and techniques to improve efficiency, accuracy, and overall quality of insights offered to stakeholders.,

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,