Data Scientist
Nividous
Job Description

Responsibilities

  • Programming Skills: Demonstrate proficiency in statistical programming languages such as R, Python, and database query languages like SQL, Hive, Pig. Familiarity with Scala, Java, or C++ is an added advantage.
  1. Statistics: Apply solid statistical skills, including knowledge of statistical tests, distributions, regression, and maximum likelihood estimators. Proficiency in statistics is crucial for contributing to the data-driven approach of our company
  2. Machine Learning: Exhibit a good understanding of machine learning methods, including k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests
  3. Hands-on Experience: Utilize hands-on experience with data science tools, showcasing practical application in real-world scenarios.
  4. Spark and Hadoop Knowledge: Familiarity with Spark is considered an added advantage, while knowledge of Hadoop will be appreciated.
  5. Proven Experience: Showcase a proven track record as a Data Analyst or Data Scientist, with experience in implementing solutions for large-scale enterprise applications.
  6. Innovative Solutions: Demonstrate creativity and a history of implementing innovative tech-based solutions
  7. Exceptional Intelligence: Showcase exceptional problem-solving skills and intelligence, contributing to the studio's data-centric endeavors.

Qualifications:

  • Bachelor's/Master's degree in Computer Science, Data Science, or a related field.
More Info
Job Type

Full Time,Permanent

Industry

Software

Roles

Data Scientist

Skills
Education

BCS

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