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Data Scientist

0-2 years
Not Disclosed
10 March 12, 2024
Job Description
Job Type: Full Time Education: Any Graduate Skills: Python, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Data Science, Artificial Intelligence

Job description

  • As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to provide valuable insights and solve challenging business problems
  • You will work closely with cross-functional teams to gather data, build predictive models, develop algorithms, and deliver data-driven solutions
  • This position is ideal for a fresher who possesses strong analytical skills, programming expertise, and a passion for working with data

Key Responsibilities:

  1. Data Collection and Preprocessing:
    • Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
    • Conduct data quality assessments and implement data cleaning techniques to ensure accuracy and reliability.
  2. Exploratory Data Analysis (EDA):
    • Perform exploratory data analysis to understand the characteristics of the data and identify patterns, trends, and outliers.
    • Utilize statistical techniques and visualizations to gain insights from the data.
  3. Statistical Modeling and Machine Learning:
    • Develop predictive models and algorithms using statistical techniques and machine learning algorithms.
    • Apply regression analysis, classification, clustering, time series analysis, and other relevant methods to solve business problems.
    • Evaluate model performance, fine-tune parameters, and optimize models for better accuracy.
  4. Feature Engineering:
    • Identify and engineer relevant features from raw data to enhance model performance.
    • Conduct feature selection techniques to improve model interpretability and efficiency.
  5. Model Deployment and Evaluation:
    • Collaborate with software engineers to deploy models into production systems.
    • Monitor model performance, diagnose issues, and implement improvements as needed.
  6. Data Visualization and Reporting:
    • Communicate findings and insights effectively through clear and concise data visualizations, reports, and presentations.
    • Present complex data-driven concepts to non-technical stakeholders in a way that is easy to understand.
  7. Continuous Learning and Research:
    • Stay up-to-date with the latest advancements in data science, machine learning, and related fields.
    • Conduct research and experimentation to explore new methodologies and approaches.

Role: Full Stack Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

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