Data Scientist

Experience : 4-10 Years

Salary : As per the Industry Norms

Job Type : Permanent

Job Location : Noida

Job Description 

  • Understand problem statement, identify and apply appropriate family of predictive models / machine learning algorithms.
  • Apply proven machine learning methods in open-source and proprietary technologies to explore and extrapolate insights from divergent data types.
  • Continuously monitor and challenge implemented models in existing projects / solutions and explore opportunities for continuous improvements.
  • Keep up to date with latest developments in the associated domain and technology areas and utilize them to improve existing projects and solutions.
  • Assist Healtheoz developing reusable digital assets.
  • Collaborate with cross-functional teams Works closely with Big Data developers and product owners to prioritize business and information needs.

Job Requirements 

  • 4+ years experience in Data Science, Predictive Modeling, and Machine Learning. Demonstrable experience in applying data science tools/techniques to business problem statements.
  • Graduate / Post Graduate degree in Statistics, Math or Computer Science fields
  • At least intermediate level skills in either R or Python.
  • Comfortable with the following at the minimum: Linear Regression and its variations, Logistic regression, kNN, Nave Bayes, Decision Trees and its variations, kMeans, Hierarchical clustering
  • Good understanding of topics such as Data Pre processing, Visualizations (ggplot2 / matplotlib etc), Cross validation, ensemble modeling.
  • Basic understanding of the Mathematics (Linear algebra, Calculus) and Statistics (Descriptive, Inferential) behind machine learning algorithms.

Preferred skills 

  • Experience with Big Data technologies, SPARK.
  • Experience with cloud computing infrastructure like AWS.
  • Experience with data visualization tools like Tableau.
  • Good communication and interpersonal skills.
Job Type: Full Time
Job Location: Noida

Apply for this position

Allowed Type(s): .pdf, .doc, .docx