Tibil Solution - Senior Data Scientist

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Design, train, and deploy machine learning models on structured/tabular data; apply statistical techniques and optimization to generate predictive insights. Build end-to-end data science solutions and data pipelines, implement MLOps for monitoring/versioning, and deploy models on cloud platforms. Collaborate with stakeholders to translate business requirements into actionable analytics and improve outcomes.
Summary Generated by Built In

Company: Tibil Solution Pvt.Lt

Position: Senior Data Scientist

Location: Banglore (On-site)

Experience: 4+ years

Employment Type: Full-time

Working days: 5 Days WFO

About Company

Tibil Solutions Pvt. Ltd. is a data engineering, analytics, and AI solutions company that helps organizations use their data to improve business decisions and performance. The company specializes in building data platforms, analytics solutions, and cloud-based data systems for businesses across different industries

Job Overview

We are looking for a highly analytical and driven Senior Data Scientist with strong expertise in machine learning, statistical modeling, and data-driven problem solving. The ideal candidate will have hands-on experience building and deploying machine learning models, working with structured datasets, and translating complex analytical insights into actionable business strategies. Experience in the manufacturing domain will be an added advantage.

Key Responsibilities
  • Develop, train, and deploy machine learning and regression models to solve complex business problems.

  • Analyze large volumes of structured/tabular data to generate insights and predictive solutions.

  • Apply statistical techniques such as probability, hypothesis testing, distribution analysis, and correlation analysis to interpret data.

  • Design and implement end-to-end data science solutions, including data preparation, model development, evaluation, and deployment.

  • Collaborate with cross-functional teams to understand business requirements and convert them into data-driven solutions.

  • Build and maintain data pipelines, models, and optimization frameworks.

  • Work with cloud platforms such as Azure or Oracle for model deployment and data workflows.

  • Implement and maintain MLOps practices for model monitoring, versioning, and scalability.

  • Communicate insights, model results, and recommendations clearly to non-technical stakeholders.

  • Continuously explore new data science methodologies to improve model performance and business outcomes.

Required Skills & Qualifications:
  • 3+ years of hands-on experience as a Data Scientist or in a similar analytical role.

  • Strong expertise in classical machine learning techniques and regression modeling.

  • Solid understanding of statistics, including probability, distributions, hypothesis testing, and correlation analysis.

  • Proficiency in Python and commonly used data science libraries:

    • scikit-learn

    • pandas

    • NumPy

  • Experience working with structured/tabular datasets.

  • Strong problem-solving and analytical thinking abilities.

  • Ability to effectively communicate complex analytical results to business stakeholders.

Primary Skills:
  • Machine Learning

  • Optimization Techniques

  • Cloud Services (Azure / Oracle)

  • MLOps

Secondary Skills:
  • End-to-end data science project implementation

  • Database management and data pipelines

  • Experience in the manufacturing domain

Soft Skills:
  • Strong stakeholder management and collaboration skills

  • Leadership mindset with the ability to guide projects independently

  • Proactive and solution-oriented approach

  • Excellent communication and presentation skills

Preferred Qualification:
  • Prior experience working in the manufacturing industry will be preferred.

Skills Required

  • 3+ years of hands-on experience as a Data Scientist or similar analytical role.
  • Strong expertise in classical machine learning techniques and regression modeling.
  • Solid understanding of statistics (probability, distributions, hypothesis testing, correlation analysis).
  • Proficiency in Python.
  • Experience with scikit-learn.
  • Experience with pandas.
  • Experience with NumPy.
  • Experience working with structured/tabular datasets.
  • Ability to develop, train, evaluate, and deploy ML models (end-to-end).
  • Experience implementing MLOps practices for model monitoring, versioning, and scalability.
  • Experience deploying models and building data workflows on cloud platforms such as Azure or Oracle.
  • Strong problem-solving, analytical thinking, and ability to communicate complex results to non-technical stakeholders.
  • End-to-end data science project implementation (secondary skill).
  • Database management and data pipelines (secondary skill).
  • Prior experience in the manufacturing industry.
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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