Data Scientist

Job description

Responsibilities:

RESPONSIBILITIES:

  • Develop predictive analytics/machine learning products aimed at optimizing and increasing the value of business operations and to support leadership decisions

  • Data mining and advanced analytics on large amounts of data to identify valuable patterns and solve business challenges

  • Partner with business stakeholders throughout the organization to identify opportunities for leveraging corporate data.

  • Communicate results and present information in a clean & efficient manner

  • Implement or participate in implementation and support the following types of projects: Customer sentiment analysis, Future sales prediction, Churn prevention, Cross-sell recommendations and more.

  • Collaborate closely with Data Engineering throughout data processing, automation, and product delivery lifecycle.

  • Effectively collaborate with business stakeholders and colleagues from other departments in different technician roles

Qualifications:

REQUIREMENTS

  • We are looking for a self-driven, autonomous professional who enjoys solving business and technical challenges.

  • Good business acumen, understanding of businesses processes and corporate strategic initiatives.

  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and statistical modeling.

  • Analytical mindset and good business sense

  • Have a clue on different business processes, such as sales, marketing, support, etc.

  • Programming Skills – knowledge and experience with a programming language like R or Python(preferable). Experience with database query languages like SQL.

  • Statistics – good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.

  • Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, etc. 

  • Math Skills (probability theory, calculus, and linear algebra) – able to understand and tune predictive performance or apply algorithm optimization techniques. 

  • Experience with a Data Visualization Tool, like matplotlib, ggplot, d3.js., Tableau

  • Excellent Communication and Presentation Skills – ability to describe findings to a technical and non-technical audience.

  • Degree in Computer Science, Engineering, or proven relevant experience as Data Analyst or Data Scientist

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