Architect
- Cognizant
- 8 - 10 years
- Chennai
- 13 hours ago
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Job Description
Job Summary
The Data Scientist designs develops and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions leveraging industry-standard machine learning generative AI and data visualization tools to inform confident decision-making and drive innovative product creation. The Data Scientist applies cut
Responsibilities
The Data Scientist designs develops and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions leveraging industry-standard machine learning generative AI and data visualization tools to inform confident decision-making and drive innovative product creation.The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including GCP Vertex AI and IBM Watsonx) to design descriptive predictive and prescriptive solutions. This position also fosters data literacy and promotes the adoption of AI and ML capabilities across UPS.
Responsibilities
Define and integrate key data sources (internal UPS data and external datasets) to deliver predictive and generative AI models.
Develop and implement robust data pipelines for cleansing transformation and enrichment of large multi-source datasets.
Collaborate with data engineering teams to validate and test data pipelines and models during proof-of-concept and production phases.
Perform exploratory data analysis (EDA) to identify trends correlations and actionable patterns that meet business needs.
Design and deploy generative AI solutions integrating them into analytics and product development workflows.
Define and track model KPIs ensuring ongoing validation testing and retraining of models to align with business objectives.
Create reusable and scalable solutions through clear documentation process flows logs and clean well-commented code.
Communicate findings through concise reports data visualizations and storytelling to both technical and non-technical stakeholders.
Present operationalized insights and provide strategic recommendations to business and executive-level stakeholders.
Apply best practices in statistical modeling machine learning generative AI distributed computing cloud-based AI and performance optimization for production deployment.
Leverage emerging tools open-source frameworks and cloud technologies (including Vertex AI Databricks and IBM WatsonX) to create predictive and prescriptive analytics solutions.
Required Qualifications
Bachelors degree in a quantitative discipline (e.g. Statistics Mathematics Computer Science Engineering Operations Research or related field).
Masters degree preferred.
Minimum 5+ years of experience in applied data science machine learning generative AI or advanced analytics.
Proven experience in building and launching moderate-to-large-scale analytics and AI projects into production.
Proficiency in Python R and SQL for data preparation querying and model development.
Strong knowledge of supervised unsupervised and generative AI techniques such as regression classification clustering causal inference and large language models (LLMs).
Hands-on experience with GCP Vertex AI IBM WatsonX Databricks or SageMaker and frameworks like TensorFlow PyTorch and Keras.
Familiarity with data visualization tools (e.g. Tableau Power BI Shiny D3) to communicate insights effectively.
Experience working with Linux/Unix and Windows environments.
Familiarity with Java or C++ is a plus.
Strong analytical skills with attention to detail and a rigorous problem-solving approach.
Ability to translate complex business problems into high-level AI and analytics solutions.
Excellent oral and written communication skills with the ability to explain analytical and generative AI concepts to both technical and non-technical stakeholders.
Strong storytelling skills to communicate data-driven insights in a clear impactful way.
Preferred Experience
Expertise in cloud AI technologies (GCP IBM WatsonX AWS Azure) and modern data pipelines.
Demonstrated success in implementing generative AI (LLMs text-to-image summarization conversational AI) for business use cases.
Track record of curiosity and innovation with the ability to explore complex datasets and generate actionable insights.
Background in operations research or quantitative social science is a strong plus.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Database Architect / DesignerEmployement Type: Full timeContact Details:
Company: CognizantLocation(s): Chennai
Keyskills: c++ analytical data pipeline artificial intelligence sql cloud tensorflow java data science gcp linux pytorch model development keras communication skills advanced analytics python data analysis query machine learning data preparation r story writing ai techniques unix
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