Senior Data Scientist
- Posted 6 days ago
- Be among the first 10 applicants
Job Description
Job Description
About the Role
LatentView Analytics is looking for a Data Scientist to join our fast-growing analytics team in Chennai. The ideal candidate will be skilled in statistical modelling, machine learning and generating business insights that drive strategic decisions for global clients.
Experience: 4 to 8 years
Work Location: Chennai / Bangalore / Gurguram
Responsibilities:
- Work with large, complex datasets to build predictive and statistical models.
- Develop and deploy machine learning solutions for business problems.
- Perform exploratory data analysis, feature engineering, and model performance tuning.
- Communicate findings and actionable insights through reports, dashboards, and presentations.
- Collaborate with cross-functional teams. Data engineering, business stakeholders, and domain experts.
- Implement best practices in model development, documentation, and version control.
Skills & Experience:
- 4 to 5 years of experience in Data Science, Machine Learning, SQL & Python.
- Model development (regression and classification).
- Strong experience in performing EDA, Feature selection/Feature Reduction, building models and evaluate its performance.
- Strong programming proficiency in python with mastery of Data Science libraries Pandas, Numpy and Scikitlearn.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
More Info
About Company
Skills:
Python, FastAPI, Machine Learning, Api Development, Api Management, Oops, Jenkins, Gcp, Azure, AWS, Cloud Migration, Docker, Kubernetes, Terraform, GenAI, Llm, RAG, Embeddings, CI/CD, GitHub Actions, ML Platform Modernization, Vector Databases, Pinecone, FAISS, Chroma, IaC
Skills:
statistical concepts , Sql, Predictive Modeling, Neural Networks, Deep Learning, Decision Trees, Machine Learning, Clustering, Python, Model training, Data ingestion, Responsible AI, Explainable AI, Ai, Ensemble methods, Feature engineering
Skills:
RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks
Skills:
Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models
Skills:
Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI