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Covasant
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Data Scientist

Data Scientist

Covasant

17 years

0 Lacs

hyderabad telangana india

Posted:3 days ago| Platform:

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Skills Required

data ai ml statistics research deployment learning cutting design reasoning forecasting inference experimentation engineering regression testing reinforcement tuning python tensorflow pytorch mlflow vertex sagemaker databricks certifications aws gcp azure storytelling presentation leadership

Work Mode

On-site

Job Type

Full Time

Job Description

Data AI/ML Scientist

Location:

Experience:

Education:

Role Overview

AI/ML Scientist

Key Responsibilities

Design, build, and deploy models across
classical ML, statistical reasoning, deep learning, NLP, CV, GenAI, and Agentic AI
.
Build
statistical reasoning models
for forecasting, inference, and optimization.
Conduct rigorous
experimentation, validation, and A/B testing
.
Develop
production-ready ML pipelines
with engineering teams.
Research and integrate
latest AI/ML advancements
into enterprise solutions.

Skills & Tools

Classical ML:
Regression, Classification, Trees, Ensembles, XGBoost.
Statistics:
Hypothesis testing, Bayesian inference, Time Series forecasting, Causal modeling.
Deep Learning:
CNNs, RNNs, Transformers, GANs, Reinforcement Learning.
Generative AI & LLMs:
Prompt Engineering, Fine-tuning, Hugging Face, LangChain.
Tools:
Python, R, TensorFlow, PyTorch, Scikit-learn, Statsmodels
.
MLOps:
MLflow, Kubeflow, Vertex AI, SageMaker, Databricks ML.

Certifications (Preferred)

Cloud AI/ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI)
Deep Learning Specializations (Stanford, Coursera, Databricks ML Certs)

Soft Skills

Ability to explain complex ML models in simple business terms.
Strong data storytelling and presentation skills.
Curious, innovative, and research-driven mindset.
Leadership to mentor teams of ML engineers & data scientists.

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