Data Scientist Jobs in Bangalore | 2–7 Years Experience

Data Scientist Jobs in Bangalore | 2–7 Years Experience

Data Scientist Jobs in Bangalore – 2 to 7 Years Experience

Company: Cybotrix Technologies
Location: Bangalore, Karnataka
Experience: 2–7 Years
Employment Type: Full-Time
Job Role: Data Scientist

Job Summary

Cybotrix Technologies is looking for experienced Data Scientists in Bangalore with 2 to 7 years of hands-on experience in data analysis, machine learning, statistical modeling, and predictive analytics.

The ideal candidate should have strong Python skills, a solid understanding of machine learning algorithms, and practical experience working with large datasets. The role involves building data-driven solutions, developing predictive models, performing statistical analysis, and supporting business teams with actionable insights.

Candidates should be comfortable working with structured and unstructured data, data preprocessing, feature engineering, model evaluation, and presenting findings to technical and non-technical stakeholders.

Key Responsibilities

  • Collect, clean, preprocess, and analyze large datasets from multiple sources.
  • Develop machine learning and statistical models for business use cases.
  • Perform exploratory data analysis to identify patterns, trends, and anomalies.
  • Build predictive and classification models using appropriate algorithms.
  • Perform feature engineering and feature selection to improve model performance.
  • Evaluate machine learning models using suitable performance metrics.
  • Develop data pipelines and reusable analytical workflows.
  • Work with structured, semi-structured, and unstructured data.
  • Create visualizations, reports, and dashboards to communicate insights.
  • Collaborate with data engineers, software developers, analysts, and business teams.
  • Translate business requirements into analytical and machine learning solutions.
  • Optimize models for accuracy, scalability, and production readiness.
  • Support model deployment, monitoring, and performance improvement.
  • Document data science methodologies, experiments, and model outputs.
  • Stay updated with developments in machine learning, AI, analytics, and data science.

Required Skills

Candidates should have strong knowledge of:

  • Python
  • Data Science
  • Machine Learning
  • Statistics
  • Predictive Analytics
  • Pandas
  • NumPy
  • Scikit-learn
  • SQL
  • Data Visualization
  • Feature Engineering
  • Data Preprocessing
  • Exploratory Data Analysis
  • Model Evaluation
  • Statistical Modeling

Preferred Technical Experience

Experience with the following will be an advantage:

  • TensorFlow or PyTorch
  • Deep Learning
  • Natural Language Processing
  • Generative AI
  • Large Language Models
  • Tableau or Power BI
  • Matplotlib or Plotly
  • Jupyter Notebook
  • Apache Spark
  • Databricks
  • AWS, Azure, or Google Cloud
  • Docker
  • Git
  • MLOps
  • Model deployment and monitoring

Educational Qualification

Bachelor’s or Master’s degree in one of the following or a related discipline:

  • Computer Science
  • Data Science
  • Artificial Intelligence
  • Mathematics
  • Statistics
  • Information Technology
  • Engineering

Candidates with strong practical data science experience and relevant technical skills may also be considered.

Experience Requirements

Applicants should have 2 to 7 years of professional experience in data science, machine learning, analytics, or related roles.

Candidates should have practical experience working on real-world datasets and developing machine learning models for production or business applications.

Desired Candidate Profile

The ideal candidate should have:

  • Strong analytical and problem-solving skills.
  • Good understanding of statistics and probability.
  • Strong Python and SQL programming skills.
  • Experience with machine learning algorithms and model development.
  • Ability to clean and transform complex datasets.
  • Strong understanding of data visualization and storytelling.
  • Experience communicating insights to business stakeholders.
  • Ability to work independently and within cross-functional teams.
  • Good documentation and presentation skills.
  • Strong interest in emerging data science and AI technologies.

Who Can Apply?

Professionals with relevant experience in roles such as:

Data Scientist, Machine Learning Engineer, Data Analyst, Senior Data Analyst, Applied Data Scientist, AI Data Scientist, Statistical Analyst, Predictive Modeling Specialist, Analytics Consultant, or Business Data Scientist can apply for this opportunity.

Work Location

Bangalore, Karnataka

Candidates currently based in Bangalore or professionals willing to relocate to Bangalore may apply.

Why Consider This Data Scientist Opportunity?

This role provides an opportunity to work on data-driven projects involving machine learning, predictive analytics, statistical modeling, business intelligence, and modern AI technologies.

Professionals with 2 to 7 years of experience can strengthen their expertise while working on practical data science challenges, scalable models, and production-focused analytical solutions.