Senior Data Scientist
- Posted a month ago
- Over 100 applicants have applied
Job Description
Role & responsibilities:
- Analyze structured and unstructured data to derive meaningful insights.
- Develop, implement, and evaluate predictive models and algorithms.
- Identify data-related challenges and opportunities.
- To get involved Cleaning, preprocessin, and transforming raw data for analysis.
- Stay updated with the latest trends in data science and machine learning.
- Should have hands on experience in Data Model development and Data Model Deployment.
- Should have experience in processing 1 TB of data volume
Preferred candidate profile:
- Proficiency in Python.
- 6-8 Years of experience
- Understand the RFP requirements, Product Requrirements to help the BCT Solution / Retina Presales team on the Solutioning Architecture , Data flow diagram in sync with the Scope of Work
- Strong knowledge of SQL and databases.
- Provide Data models for the various Solutions in line with the expectations of the Retina Consulting team.
- Have discussions to understand the process requirements, data sources, data quality and data availability
- Prepare a documentation on the modelling required with clear objectives, inputs and output and how the model can be utilized within Retina
- Justify the selection of the suitable modelling algorithms as relevant for the problem outlined by the Consulting team.
- Develop models with AI / ML in line with the documentation within the agreed period Demonstrate and fine tune the models as per expectations
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with big data tools such as Hadoop or Spark is a plus.
- Excellent problem-solving and communication skills.
Note:
- Work Hours: General
- Work Mode: Inperson / Work from office
- Location: Chennai
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Skills:
Machine Learning, Clustering, Sql, Deep Learning, Neural Networks, Predictive Modeling, Python, Decision Trees, Ai, Ensemble methods, Model training, Feature engineering, Data ingestion, Responsible AI, Explainable AI
Skills:
Pyspark, Sql, Nlp, Pytorch, Databricks, Python, MLops, LangChain, Generative AI, MLflow, LangGraph, Agentic AI, LLM APIs, Azure AI services, LLMs, AI governance frameworks, Medical text analytics, Knowledge graphs, clinical decision support, Multimodal AI, CI/CD for ML
Skills:
Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis
Skills:
Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models
Skills:
Machine Learning, Neural Networks, Unsupervised Learning, Sql, Deep Learning, Decision Trees, Predictive Modeling, Clustering, Python, model training, supervised learning, Ai, Simulation, ensemble methods, Evaluation, scenario analysis, advanced statistical concepts, data ingestion, Responsible AI, feature engineering, Explainable AI, Deployment