Data Scientist

Position Overview:

Mid-Level Data Scientist

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that drive business strategy.
• Develop and implement

  predictive models

  and statistical analyses to support decision-making.
• Conduct

  exploratory data analysis (EDA)

  to uncover meaningful insights and effectively communicate findings.
• Collaborate with stakeholders to define data requirements and deliver analytical solutions.
• Visualize data and present findings to

  non-technical audiences

  in a clear and compelling manner.
• Identify patterns, issues, and augmentation techniques to support

  ML engineers

  in building AI/ML models.
• Participate in the

  design and development of data pipelines

  using Spark and other big data technologies.
• Monitor and maintain the performance of deployed models and analytics solutions.
• Stay updated on

  industry trends

  and best practices in data science and big data technologies.

Qualifications:

• Bachelors degree

  in Data Science, Computer Science, Statistics, or a related field (

  Masters degree is a plus

  ).

• 3-5 years

  of experience in

  data science

  or a related role.
• Proficiency in programming languages such as

  Python, NumPy, Scikit-learn, TensorFlow, PyTorch, or Scala

  .
• Experience with

  big data technologies

  (e.g., Hadoop, Spark).
• Strong understanding of

  statistical models and machine learning techniques

  .
• Strong

  EDA (Exploratory Data Analysis) capabilities

  with a knack for storytelling through data.
• Experience in the

  retail sector

  is highly desirable.
• Excellent

  problem-solving skills

  and attention to detail.
• Strong

  communication skills

  , with the ability to convey complex information effectively.