{"id":2568096,"url":"https://alion.io/job/hcltech-data-scientist-2","title":"Data Scientist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T22:22:56Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T16:44:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nShould have experience with the data analytics, data modeling or data architecture and database design.\nProven ability to design and implement scalable, efficient and robust data models for various business functions\nSolid understanding of the JSON structures and physical data modeling using JSON\nProficient in creating ER diagrams and implementing data models suitable for the organization and tribe\nFamiliar with data governance and data quality best practices would be advantageous\nCreate conceptual, logical and physical data models to meet the business requirements\nProvide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives\nDevelop and maintain comprehensive documentation for the data models including metadata and data lineage\nHaving a good understanding of No SQL database would be a plus\nCollaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.\nTranslate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.\nConduct business process analysis and identify opportunities for process improvement and automation.\nCreate and maintain process flows, data models, interface specifications, and requirements traceability matrices.\nWork closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.\nAnalyze data, systems, APIs, and integrations to support solution design and decision-making.\nEnsure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.\nKey Responsibilities\nShould have experience with the data analytics, data modeling or data architecture and database design.\nProven ability to design and implement scalable, efficient and robust data models for various business functions\nSolid understanding of the JSON structures and physical data modeling using JSON\nProficient in creating ER diagrams and implementing data models suitable for the organization and tribe\nFamiliar with data governance and data quality best practices would be advantageous\nCreate conceptual, logical and physical data models to meet the business requirements\nProvide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives\nDevelop and maintain comprehensive documentation for the data models including metadata and data lineage\nHaving a good understanding of No SQL database would be a plus\nCollaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.\nTranslate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.\nConduct business process analysis and identify opportunities for process improvement and automation.\nCreate and maintain process flows, data models, interface specifications, and requirements traceability matrices.\nWork closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.\nAnalyze data, systems, APIs, and integrations to support solution design and decision-making.\nEnsure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.\nSkill Requirements\nShould have experience with the data analytics, data modeling or data architecture and database design.\nProven ability to design and implement scalable, efficient and robust data models for various business functions\nSolid understanding of the JSON structures and physical data modeling using JSON\nProficient in creating ER diagrams and implementing data models suitable for the organization and tribe\nFamiliar with data governance and data quality best practices would be advantageous\nCreate conceptual, logical and physical data models to meet the business requirements\nProvide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives\nDevelop and maintain comprehensive documentation for the data models including metadata and data lineage\nHaving a good understanding of No SQL database would be a plus\nCollaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.\nTranslate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.\nConduct business process analysis and identify opportunities for process improvement and automation.\nCreate and maintain process flows, data models, interface specifications, and requirements traceability matrices.\nWork closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.\nAnalyze data, systems, APIs, and integrations to support solution design and decision-making.\nEnsure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.\nOther Requirements\nShould have experience with the data analytics, data modeling or data architecture and database design.\nProven ability to design and implement scalable, efficient and robust data models for various business functions\nSolid understanding of the JSON structures and physical data modeling using JSON\nProficient in creating ER diagrams and implementing data models suitable for the organization and tribe\nFamiliar with data governance and data quality best practices would be advantageous\nCreate conceptual, logical and physical data models to meet the business requirements\nProvide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives\nDevelop and maintain comprehensive documentation for the data models including metadata and data lineage\nHaving a good understanding of No SQL database would be a plus\nCollaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.\nTranslate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.\nConduct business process analysis and identify opportunities for process improvement and automation.\nCreate and maintain process flows, data models, interface specifications, and requirements traceability matrices.\nWork closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.\nAnalyze data, systems, APIs, and integrations to support solution design and decision-making.\nEnsure delivered solutions meet business requirements, regulatory obligations, security standards, and operational 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