Data Scientist

Tibil Solutions; Bengaluru; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Tibil Solutions invites a Data Scientist to join our Bengaluru team to develop ML and DL solutions for business problems. You will work with structured data, apply statistical techniques, and deploy models using Python, SQL, NLP, TensorFlow, and PyTorch.

The role emphasizes translation of model results into actionable insights for non-technical stakeholders and collaboration with cross-functional teams.

Qualifications

• 3+ years of experience as a Data Scientist.
• Experience with structured/tabular data and ML/DL modeling.
• Proficient in Python and SQL for data analysis and model deployment.
• Familiar with NLP techniques and libraries.

Responsibilities

• Develop supervised and unsupervised ML models.
• Build classical ML and regression models.
• Work with structured and tabular datasets.
• Perform data analysis, preprocessing, feature engineering, and model evaluation.
• Develop Deep Learning solutions using TensorFlow, PyTorch, or similar frameworks.
• Apply NLP techniques using NLTK, spaCy, Hugging Face, or similar libraries.
• Apply statistics and probability to analyze data and solve business problems.
• Write and optimize SQL queries for data extraction and analysis.
• Use Python for data analysis, model development, and implementation.
• Interpret model results and communicate insights clearly to non-technical stakeholders.

Skills

Python

SQL

Machine Learning

NLP

Tools

TensorFlow

PyTorch

NLTK

spaCy

Hugging Face

Job description

Tibil Solutions is a technology solutions company focused on delivering innovative, data-driven, and software solutions to help businesses solve complex technology challenges.

About Role

We are looking for a Data Scientist with 3+ years of experience to develop and implement Machine Learning and Deep Learning solutions. The role involves working with structured/tabular data, applying statistical techniques, building ML models, and using Python, SQL, NLP, TensorFlow, and PyTorch to solve business problems.

Roles and Responsibilities

• Develop supervised and unsupervised Machine Learning models.
• Build classical ML and regression models.
• Work with structured and tabular datasets.
• Perform data analysis, preprocessing, feature engineering, and model evaluation.
• Develop Deep Learning solutions using TensorFlow, PyTorch, or similar frameworks.
• Apply NLP techniques using NLTK, spaCy, Hugging Face, or similar libraries.
• Apply statistics and probability to analyze data and solve business problems.
• Write and optimize SQL queries for data extraction and analysis.
• Use Python for data analysis, model development, and implementation.
• Interpret model results and communicate insights clearly to non-technical stakeholders.