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Jr. Data Scientist

SolvusAI

All India, Bangalore • 1 month ago

Experience: 0 to 4 Yrs

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Job Description

As a Jr. Data Scientist at our company, you will be part of a dynamic team working with real-world data to apply standard and advanced preprocessing and modeling techniques. This role is perfect for recent graduates or early-career professionals who are eager to collaborate in a stimulating environment. **Key Responsibilities:** - **Data Ingestion & Preparation** - Extract and manipulate data using SQL and Python (pandas) - Import and clean both structured & unstructured datasets - **Data Preprocessing & Feature Engineering** - Handle missing values, outliers, and duplicates using statistical and ML techniques - Apply noise reduction, data integration, and transformation - Perform dimensionality reduction and ensure quality through data validation - **Model Building & Evaluation** - Develop machine learning models for varied problem types - Tune hyperparameters using cross-validation and assess models using standard metrics - Visualization & Insight Generation - Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau - Conduct statistical analysis to derive actionable business insights and present findings clearly - **Team Collaboration** - Work closely with cross-functional teams to align deliverables with organizational goals - Participate in agile discussions and contribute to iterative development **Qualifications Required:** - Bachelor's or Master's in Data Science, Computer Science, Statistics, or related field - Proficiency in Python or R - Strong SQL skills for data extraction/manipulation from relational databases - Experience handling CSV/Excel data ingestion; advanced data cleaning techniques - Understanding and implementation of various machine learning models and their practical applications - Ability to evaluate model performance using appropriate metrics - Experience with feature scaling and categorical variable encoding - Data visualization using Matplotlib, Seaborn, Plotly, or Tableau - Analytical thinking, problem-solving, teamwork, and clear communication If you are ready to make an impact by transforming data into meaningful insights, we invite you to apply for this exciting opportunity! As a Jr. Data Scientist at our company, you will be part of a dynamic team working with real-world data to apply standard and advanced preprocessing and modeling techniques. This role is perfect for recent graduates or early-career professionals who are eager to collaborate in a stimulating environment. **Key Responsibilities:** - **Data Ingestion & Preparation** - Extract and manipulate data using SQL and Python (pandas) - Import and clean both structured & unstructured datasets - **Data Preprocessing & Feature Engineering** - Handle missing values, outliers, and duplicates using statistical and ML techniques - Apply noise reduction, data integration, and transformation - Perform dimensionality reduction and ensure quality through data validation - **Model Building & Evaluation** - Develop machine learning models for varied problem types - Tune hyperparameters using cross-validation and assess models using standard metrics - Visualization & Insight Generation - Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau - Conduct statistical analysis to derive actionable business insights and present findings clearly - **Team Collaboration** - Work closely with cross-functional teams to align deliverables with organizational goals - Participate in agile discussions and contribute to iterative development **Qualifications Required:** - Bachelor's or Master's in Data Science, Computer Science, Statistics, or related field - Proficiency in Python or R - Strong SQL skills for data extraction/manipulation from relational databases - Experience handling CSV/Excel data ingestion; advanced data cleaning techniques - Understanding and implementation of various machine learning models and their practical applications - Ability to evaluate model performance using appropriate metrics - Experience with feature scaling and categorical variable encoding - Data visualization using Matplotlib, Seaborn, Plotly, or Tableau - Analytical thinking, problem-solving, teamwork, and clear communication If you are ready to make an impact by transforming data into meaningful insights, we invite you to apply for this exciting opportunity!

Posted on: March 1, 2026

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