Tata Consultancy Services
Inclusion without Exception:
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
About TCS:
TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years.
Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India’s largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada.
The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS’ proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.
Role Description:
• We are seeking a highly skilled and analytical SAS Developer with significant modeling experience to join our dynamic team.
• The successful candidate will be instrumental in developing, implementing, and maintaining statistical models and analytical solutions using SAS.
• This role requires a strong background in SAS programming, a deep understanding of statistical modeling techniques, and the ability to translate complex data into actionable business insights.
Required Skill Set:
• Model Development & Implementation: Design, develop, and implement various statistical and machine learning models (e.g., predictive models, regression models, classification models, time series models, segmentation models) using SAS.
• Work with large and complex datasets to build, validate, and deploy models.
• Ensure models are robust, scalable, and meet business objectives.
• SAS Programming & Data Manipulation: Develop, maintain, and optimize complex SAS programs (Data Step, PROC SQL, Macros) for data extraction, transformation, loading (ETL), and data quality checks.
• Extract and manipulate data from various sources (e.g., data warehouses, relational databases, flat files) to prepare it for analysis and modeling.
• Utilize advanced SAS procedures (e.g., PROC GLM, PROC LOGISTIC, PROC ARIMA, PROC DMREG, PROC HPSPLIT, PROC SQL, PROC REPORT, PROC MEANS, PROC FREQ) for statistical analysis and reporting.
• Data Analysis & Feature Engineering: Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Conduct feature engineering to create new variables and improve model performance.
• Understand and address data quality issues relevant to modeling.
• Model Validation & Monitoring: Rigorously validate models using appropriate statistical techniques (e.g., cross-validation, out-of-sample testing).
• Develop and implement processes for ongoing model monitoring, performance tracking, and recalibration.
• Document model specifications, methodology, and validation results comprehensively.
• Reporting & Visualization: Develop and automate SAS-based reports and dashboards to visualize model performance and key analytical insights.
• Present complex analytical findings to technical and non-technical stakeholders clearly and concisely.
• Collaboration & Communication: Work closely with business analysts, data scientists, IT teams, and other stakeholders to understand business requirements and deliver effective analytical solutions.
• Participate in peer code reviews and contribute to best practices for SAS development and modeling.
• Documentation & Best Practices: Maintain thorough documentation of SAS programs, data dictionaries, model methodologies, and project deliverables.
• Adhere to coding standards and best practices for maintainability, readability, and performance
Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC).
Should you require accommodations during the recruitment and selection process, please inform Human Resources.
Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period.
We invite you to continue to apply for other opportunities that match your profile.
Source ⇲
