We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
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They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
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They must have a proven ability to drive business results with their data-based insights.
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Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
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Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
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Assess the effectiveness and accuracy of new data sources and data gathering techniques.
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Develop custom data models and algorithms to apply to data sets.
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Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
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Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems
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Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
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Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
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Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
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Experience working with and creating data architectures.
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Deep knowledge of math, probability, statistics and algorithms
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Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Education & Experience Requirement
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Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
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5-7 years of experience manipulating data sets and building statistical models
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Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
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Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
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Coding knowledge and experience with several languages: C, C++, Java, JavaScript etc.
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Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
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Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
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Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
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Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
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Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
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Proven communication and writing skills in English
Industry Details
- Industry: Telecom/Smart Consumer Electronics
- Department: Data Science
- Role: Data Scientist
- Employment Status: Full time
