Responsibilities:
RESPONSIBILITIES:
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Develop predictive analytics/machine learning products aimed at optimizing and increasing the value of business operations and to support leadership decisions
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Data mining and advanced analytics on large amounts of data to identify valuable patterns and solve business challenges
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Partner with business stakeholders throughout the organization to identify opportunities for leveraging corporate data.
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Communicate results and present information in a clean & efficient manner
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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.
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Collaborate closely with Data Engineering throughout data processing, automation, and product delivery lifecycle.
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Effectively collaborate with business stakeholders and colleagues from other departments in different technician roles
Qualifications:
REQUIREMENTS
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We are looking for a self-driven, autonomous professional who enjoys solving business and technical challenges.
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Good business acumen, understanding of businesses processes and corporate strategic initiatives.
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2+ years of relevant working experience in an analytical role involving data extraction, analysis, and statistical modeling.
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Analytical mindset and good business sense
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Have a clue on different business processes, such as sales, marketing, support, etc.
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Programming Skills – knowledge and experience with a programming language like R or Python(preferable). Experience with database query languages like SQL.
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Statistics – good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
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Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, etc.
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Math Skills (probability theory, calculus, and linear algebra) – able to understand and tune predictive performance or apply algorithm optimization techniques.
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Experience with a Data Visualization Tool, like matplotlib, ggplot, d3.js., Tableau
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Excellent Communication and Presentation Skills – ability to describe findings to a technical and non-technical audience.
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Degree in Computer Science, Engineering, or proven relevant experience as Data Analyst or Data Scientist