Data Scientist

1 week ago


India TalentPulse Consultant Full time

Job Description :


We are looking for a skilled Data Scientist to join our team in a remote capacity, operating within the UK shift timings of 2pm to 11pm IST.

As a Data Scientist, you will play a key role in analyzing complex datasets, developing predictive models, and deriving actionable insights to drive business decisions.


Responsibilities :

  • Conduct exploratory data analysis to understand patterns, trends, and anomalies in large datasets.
  • Develop predictive models and machine learning algorithms to solve business problems and optimize processes.
  • Collaborate with crossfunctional teams to identify opportunities for leveraging data science techniques to drive business value.
  • Design and implement experiments to test hypotheses and validate model performance.
  • Utilize statistical methods and hypothesis testing to derive insights and make datadriven recommendations.
  • Build and deploy scalable machine learning pipelines and models in production environments.
  • Interpret and communicate findings to nontechnical stakeholders through visualizations, reports, and presentations.
  • Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.

Requirements :

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
years of experience in data science, machine learning, or related roles.

  • Strong proficiency in programming languages such as Python, R, or Scala.
  • Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikitlearn, etc.
  • Solid understanding of statistical methods, hypothesis testing, and experimental design.
  • Handson experience with data wrangling, feature engineering, and model evaluation.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Excellent problemsolving skills and attention to detail.
  • Effective communication skills and the ability to collaborate with crossfunctional teams.
  • Prior experience in a remote work environment or across different time zones is a plus.
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