Data Scientist

1 week ago


Bengaluru, Karnataka, India Programming Full time

Job Title :
Data Scientist

Location :
Bangalore, India

Company :

About :
is a leading technology company dedicated to providing innovative solutions in the field of software development and programming. We specialize in creating cutting-edge tools and platforms to empower developers worldwide.

Job Description :
We are seeking a talented and experienced Data Scientist to join our team in Bangalore. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data analysis. You will be responsible for developing and implementing advanced algorithms and models to extract insights from large datasets. Additionally, you will work closely with cross-functional teams to identify opportunities for leveraging data to drive business value.

Responsibilities :

  • Develop and implement machine learning algorithms and models to solve complex business problems.
  • Analyze large datasets to extract meaningful insights and patterns.
  • Collaborate with software engineers to integrate machine learning models into production systems.
  • Design and execute experiments to evaluate the performance of machine learning models.
  • Create data visualizations using tools like Tableau, Seaborn, and Matplotlib to communicate findings to stakeholders.
  • Stay uptodate with the latest advancements in artificial intelligence and machine learning.

Requirements :

  • Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience working as a Data Scientist or a similar role.
  • Strong programming skills in Python.
  • Proficiency in machine learning techniques and algorithms.
Experience with data visualization tools such as Tableau, Seaborn, and Matplotlib.

  • Excellent analytical and problemsolving skills.
  • Ability to work effectively in a fastpaced and collaborative environment.
  • Strong communication and interpersonal skills.

Preferred Qualifications :

  • Master's or Ph.
D. degree in Computer Science, Statistics, Mathematics, or a related field.

  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
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