SENIOR ENGINEER - DATA SCIENCE

A results-driven data science professional with 2–5 years of experience in analyzing complex datasets to uncover meaningful insights, build predictive models, and deliver actionable business recommendations. Demonstrates hands-on proficiency in machine learning, cognitive analytics, and advanced statistical techniques, while continuously enhancing technical and domain knowledge through guided and self-initiated learning. Actively engages in cross-functional collaboration and contributes to project-level decisions and risk identification under limited supervision.

Key Responsibilities

• Analyze structured and unstructured data to extract patterns and drive business insights.
• Design and implement statistical and machine learning models for forecasting, recommendations, and classification.
• Translate customer or business requirements into data-driven solutions and visualization strategies.
• Implement models in R, Python, Matlab, or other tools and integrate into production pipelines.
• Collaborate with engineering, QA, and customer-facing teams to clarify and resolve data-related queries.
• Document workflows, prepare clear reports, and adhere to project timelines and quality standards.
• Participate in trainings, technical assessments, and initiatives to contribute to organizational knowledge growth.

Education & Experience

• Qualification: B.E./B.Tech/MCA or equivalent in Computer Science, Statistics, Mathematics, or a related discipline
• Experience: 2–5 years in data science, advanced analytics, or applied machine learning

Technical Competencies

• Analytics Tools: R, Matlab, Python-ML, Spark MLlib, SPSS, SAS
• Programming Languages: R, Python, Perl, Scala
• Platforms: Unix-based environments
• Specializations:
• Cognitive Analytics
• Artificial Intelligence & Machine Learning
• Computer Vision (Foundational or Applied)
• Statistical Modeling