Data Scientist

Full time @AlmaMate Info Tech in Data Scientist
  • Mayur Vihar 3 Delhi, 110096 View on Map
  • Post Date : May 10, 2024
  • Apply Before : May 25, 2024
  • Salary: Rs30,000.00 - Rs400,000.00 / Monthly
  • 0 Application(s)
  • View(s) 11
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Job Detail

  • Job ID 958
  • Offered Salary 30000
  • Experince 5 Year

Job Description

We are looking for a talented Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing large datasets, developing predictive models, and extracting valuable insights to drive business decisions and innovation. You will work closely with cross-functional teams to identify business opportunities, design experiments, and develop data-driven solutions that deliver measurable impact.

Responsibilities:

  • Collect, clean, and preprocess large datasets from various sources for analysis.
  • Perform exploratory data analysis to understand data patterns, trends, and relationships.
  • Develop predictive models using machine learning algorithms such as regression, classification, clustering, and neural networks.
  • Evaluate model performance and refine algorithms to improve accuracy, precision, and recall.
  • Design and conduct experiments to test hypotheses and validate model assumptions.
  • Interpret and communicate analysis results and insights to non-technical stakeholders in a clear and actionable manner.
  • Collaborate with software engineers and data engineers to deploy models into production systems.
  • Stay updated with the latest data science techniques, tools, and best practices.
  • Participate in data science competitions, hackathons, and conferences to showcase your skills and learn from others.

Requirements:

  • Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field (preferred).
  • Proven experience as a Data Scientist or similar role, with a deep understanding of statistical analysis, machine learning, and data visualization techniques.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data manipulation and analysis libraries such as Pandas, NumPy, and SciPy.
  • Strong knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, feature engineering, and model evaluation.
  • Familiarity with data visualization tools such as Matplotlib, Seaborn, or Tableau.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Strong communication and interpersonal skills.

Bonus Skills:

  • Experience with big data technologies such as Hadoop, Spark, or Hive.
  • Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of natural language processing (NLP) techniques and tools.
  • Experience with version control systems such as Git.

Required skills