Senior Analyst - Data Science
- LatentView
- 3 - 5 years
- Chennai
- 11 days ago
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Job Description
- Design and develop machine learning models and statistical solutions to address complex business problems.
- Perform data exploration, feature engineering, model development, and validation.
- Select appropriate algorithms, modeling techniques, and evaluation metrics.
- Develop reusable modeling frameworks and contribute to best practices within the Data Science CoE.
- Extract, transform, and analyze large datasets using SQL and Python.
- Work with structured and unstructured data across enterprise data platforms.
- Collaborate with data engineering teams to define data pipelines and feature stores.
- Deploy machine learning models into production using scalable architectures.
- Build APIs, batch pipelines, and real-time inference systems for model consumption.
- Implement model monitoring, versioning, retraining pipelines, and lifecycle management practices.
- Ensure compliance with model governance, auditability, and enterprise standards.
- Define end-to-end ML solution architectures including data pipelines, model training, deployment, and monitoring.
- Provide technical guidance and mentorship to junior data scientists.
- Translate business requirements into analytical solutions and present insights to stakeholders.
- Evaluate and adopt emerging technologies in AI, Generative AI, and Agentic AI frameworks.
- Identify opportunities to integrate LLMs and AI-driven automation into analytics solutions.
- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- 35 years of experience in data science, machine learning, or advanced analytics
- Proven experience delivering production-grade machine learning solutions.
- Strong programming proficiency in Python.
- Strong SQL skills for complex data analysis and transformation.
- Experience with data manipulation libraries such as Pandas and NumPy.
- Strong foundation in statistics, probability, and machine learning concepts.
- Experience with supervised and unsupervised learning techniques.
- Strong understanding of model evaluation, validation, and feature engineering.
- Experience deploying machine learning models into production environments.
- Familiarity with MLOps practices including model monitoring, versioning, and retraining.
- Experience building ML APIs or batch inference pipelines.
- Strong communication and stakeholder management skills.
- AI Machine Learning: Supervised & Unsupervised Learning, Model Evaluation, Feature Engineering
- Programming & Data: Python, SQL, Pandas, NumPy
- Data Science: Statistics, Probability, Data Analysis
- MLOps & Deployment: Model Deployment, Monitoring, Versioning, Retraining, ML APIs, Batch & Real-time Inference
- Cloud Platforms: AWS, Azure, Google Cloud Platform (preferred)
- Emerging AI: Generative AI, LLMs, Agentic AI Frameworks, RAG, Vector Databases
- DevOps & Tools: Docker, Kubernetes, CI/CD Pipelines
- Opportunity to work in a Data Science Center of Excellence solving high-impact business problems.
- Exposure to end-to-end machine learning lifecycle and production-grade AI systems.
- Work with cutting-edge technologies including Generative AI and Agentic AI frameworks.
- Collaborative and innovation-driven environment with strong focus on learning and growth.
Job Classification
Industry: Management ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: LatentViewLocation(s): Chennai
Keyskills: advanced analytics cd continuous integration kubernetes python data validation ci/cd engineering numpy machine learning artificial intelligence sql docker pandas data science stakeholder management aws programming statistics communication skills ml
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