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Data Scientist

Outstaff Your Team·Salary not specified

Primary stack

NoSQLRMachine LearningPythonSQL

Job description

About the Position

A data scientist is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of how the business performs, and to build AI tools that automate certain processes within the company.

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third-party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Requirements

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
  • Great communication skills
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality

We Offer

  • Competitive salary
  • Opportunity to work with cutting-edge technologies
  • Collaborative and innovative work environment
  • Professional development opportunities
  • Flexible working hours and remote working possibilities

About the Company

{{Write a short and catchy paragraph about your company. Make sure to provide information about the company culture, perks, and benefits. Mention office hours, remote working possibilities, and everything else you think makes your company interesting. Data scientists like to take challenges - anything that shows how the role could make an impact might help attract top talent.}}

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