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Data Scientist

3 - 6 years

15 - 16 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title:

Data Scientist

Location: Hyderabad (Hybrid, Remote)

Job Type:

Full-time

Experience Level:

3-6 Years

Responsibilities:

Data Analysis and Modelling:

  • Utilize statistical and machine learning techniques to analyse large datasets and derive actionable insights.
  • Develop predictive models and algorithms to address business challenges and improve decision-making processes.

Feature Engineering and Data Preprocessing:

  • Work with raw data to perform data cleaning, transformation, and feature engineering to prepare datasets for analysis.
  • Collaborate with cross-functional teams to gather and understand data requirements.

Model Deployment and Monitoring:

  • Implement and deploy machine learning models into production environments.
  • Monitor model performance and make necessary adjustments to ensure continued accuracy and relevance.

Collaboration and Communication:

  • Collaborate with data engineers, analysts, and business stakeholders to understand their requirements and provide data-driven solutions.
  • Communicate complex findings and insights in a clear and understandable manner to both technical and non-technical stakeholders.

Continuous Learning and Research:

  • Stay abreast of industry trends and advancements in data science and machine learning.
  • Continuously enhance skills through training and self-directed learning.

Requirements:

Education and Experience:

  • Bachelors or Masters degree in Computer Science, Statistics, or a related field.
  • years of proven experience as a Data Scientist.

Technical Skills:

  • Proficient in programming languages such as Python or R.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong knowledge of statistical analysis and data visualization tools.

Problem-Solving:

  • Ability to translate business problems into analytical frameworks and develop data-driven solutions.

Communication Skills:

  • Strong interpersonal and communication skills with the ability to explain complex concepts to non-technical stakeholders.

Team Collaboration:

  • Demonstrated ability to work effectively in a collaborative team environment.

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