Analytics and Modeling Manager | Data Scientist

The role involves leading analytical initiatives to generate valuable insights through advanced statistical modeling and data-driven decision-making for clients. As Analytics and Modeling Manager, you will deliver strategic analytics solutions across industries, tailored to specific client needs. This includes applying techniques like predictive modeling, cluster analysis, Bayesian modeling, neural networks, and Markov models to address business challenges. Your work will support operations through data analysis, text mining, and statistical modeling, and you will adapt existing frameworks for operational use cases. Collaboration with global teams, including data scientists, subject-matter experts, sales, and delivery units, is essential to execute projects from design through implementation. You will build and manage an analytics team across at least two dedicated analytics towers. Education Requirements: A Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or a related scientific discipline is mandatory. Experience: Minimum of 10 years in relevant industries such as financial services, healthcare, retail, marketing, or energy, with hands-on expertise in data-driven decision-making. Required Technical Skills: Proficiency with tools like R, Python, SAS, STATA, SQL, and programming languages including Java and Scala. Must have applied advanced modeling techniques such as classification, clustering, neural networks, and reliability modeling in professional settings. Description of Work Environment: The position emphasizes global collaboration and requires strong written and verbal communication skills in English to convey complex insights to diverse stakeholders. While no specific location is mentioned, the role involves leading analytics teams within operational and client-facing contexts across multiple regions.

Source: Himalayas