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Job Type

Full Time

Job Description

Job Description: Data Scientist

Location

Employment Type

Department

Industry

Role Category

Role & Responsibilities

:

Data Scientist

  • Data Analysis & Exploration

    : Perform exploratory data analysis (EDA) to understand the data, identify trends, correlations, and key features to inform business decisions.
  • Model Development

    : Design, develop, and implement machine learning models to solve business problems, including regression, classification, and clustering algorithms.
  • Data Preprocessing

    : Clean, preprocess, and transform raw data into usable formats for analysis, including handling missing data, outliers, and scaling features.
  • Model Evaluation & Optimization

    : Evaluate the performance of models using appropriate metrics, and fine-tune algorithms to optimize results and ensure robustness.
  • Statistical Analysis

    : Apply statistical methods to interpret data, validate hypotheses, and make data-driven decisions.
  • Data Visualization

    : Create insightful visualizations to communicate findings to stakeholders, using tools like

    Matplotlib

    ,

    Seaborn

    , or

    Tableau

    .
  • Collaboration & Reporting

    : Work closely with business teams, engineers, and other stakeholders to implement data-driven solutions and ensure alignment with business goals.
  • Research & Innovation

    : Stay up-to-date with the latest advancements in data science, machine learning, and AI, and apply these innovations to real-world challenges.

Desired Candidate Profile

:
  • Experience

    : 1–2 years of experience in

    Data Science

    ,

    Machine Learning

    , or related roles, with a focus on building, deploying, and optimizing machine learning models.
  • Technical Skills

    :
  • Strong programming skills in

    Python

    or

    R

    , with experience in libraries such as

    Pandas

    ,

    NumPy

    ,

    Scikit-learn

    ,

    TensorFlow

    , or

    PyTorch

    .
  • Experience with

    machine learning algorithms

    (e.g., linear regression, decision trees, SVM, KNN, random forests, neural networks).
  • Proficiency in

    data visualization tools

    like

    Matplotlib

    ,

    Seaborn

    ,

    Tableau

    , or

    Power BI

    to communicate findings effectively.
  • Strong knowledge of

    SQL

    and experience in querying large datasets.
  • Familiarity with

    cloud platforms

    like

    AWS

    ,

    Azure

    , or

    GCP

    for scalable data science solutions.
  • Understanding of

    deep learning

    ,

    NLP

    (Natural Language Processing), or

    computer vision

    is a plus.
  • Familiarity with

    big data technologies

    like

    Hadoop

    ,

    Spark

    , or

    Databricks

    is a bonus.
  • Education

    :
  • B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Key Skills

:
  • Data Science

  • Machine Learning

  • Deep Learning

  • Natural Language Processing (NLP)

  • Computer Vision

  • Data Preprocessing

  • Data Visualization

    : Matplotlib, Seaborn, Tableau, Power BI
  • Programming

    : Python, R
  • Machine Learning Frameworks

    : Scikit-learn, TensorFlow, PyTorch
  • Big Data

    : Hadoop, Spark, Databricks
  • SQL

  • Statistical Analysis

  • Cloud Platforms

    : AWS, Azure, GCP
  • Model Evaluation & Optimization

  • Business Intelligence

Notice Period

:
  • Immediate to 30 days preferred

    .


#DataScience #MachineLearning #AI #DataScientist #NLP #DeepLearning #ML #Python #R #BigData #CloudComputing #DataVisualization #DataAnalytics #StatisticalAnalysis #TensorFlow #PyTorch #SQL #BusinessIntelligence #TechJobs #RemoteJobs #BangaloreJobs #AIandML #DataScienceCareers #ITServices #DataDriven

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