Modeler Jobs in Hyderabad

Position Title: Data Modeler Location: Hyderabad Department: Data & Analytics Experience Required: 4+ Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a highly skilled and detail-oriented Data Modeler to join our Hyderabad team. In this role, you will be responsible for developing and optimizing conceptual, logical, and physical data models that support business intelligence and decision-making processes. You will work closely with business stakeholders and technical teams to turn complex data into meaningful insights. Roles and Responsibilities: Translate business requirements into well-structured data models. Design and implement conceptual, logical, and physical data models for enterprise applications. Collaborate with cross-functional teams including data engineers, analysts, and business users. Ensure data integrity and consistency across various data sources and systems. Use data modeling tools (e.g., ERwin, ER/Studio) to document metadata and relationships. Participate in data profiling, analysis, and cleansing initiatives. Provide technical leadership on data structure standards and best practices. Support data governance, cataloging, and quality assurance efforts. Work in Agile environments and contribute to sprint planning and execution. Required Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 4+ years of experience in data modeling (relational, dimensional, or NoSQL). Hands-on experience with tools such as ERwin, ER/Studio, or equivalent. Strong SQL skills and ability to handle large datasets. Experience with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with cloud data platforms such as AWS, GCP, or Azure. Strong analytical skills and attention to detail. Excellent communication and stakeholder management skills. Nice to Have: Experience with Snowflake, BigQuery, or Redshift. Exposure to ETL tools and data pipeline development. Knowledge of metadata and data lineage tools. Experience in domains such as retail, healthcare, or finance. Be part of a forward-thinking company at the cutting edge of data and digital transformation. Work in a collaborative environment that encourages learning and growth. Gain exposure to global projects and next-gen technologies. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Role:Principal Statistical Modeler - Big Data Location: Hyderabad About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Clinical Moder - Big Data Machine Learning within our Clinical Modeling and Evidence Integration team / Hyderabad, you will develop and implement data cohort creation, data insights and predictive or machine learning models with Big Data (such as large observational study results, electronic health records, Real World Evidence studies) to generate clinical development relevant insights and decision supports. Main responsibilities: Create the cohorts of interest from the big data sources (i.e. electronic health records). Provides data visualization and summaries reports. Develop or implement clinical machine learning models to bridge RWE and clinical inference. Collaborate with cross-functional teams to address scientific questions with integrated RWE and clinical insights. Assist and may work under the direction of clinical modelers. About you Experience: 3 Years of experience in Machine Learning if no PhD Machine learning skills. Experience/Knowledge in Causal inference methods is a plus. Excellent Python and/or R programming skills are required. Experience in tidymodels framework is a plus. Experience using version control systems (eg, Git, GitHub). Soft and technical skills: Good interpersonal and communication skills Good understanding of statistical concepts. Some knowledge about clinical development is a plus. Education: PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines Languages: R, Python, Julia. SAS is a plus Qualification : PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines