Data Scientist - Qualified Pipeline

August 28

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Leaders in Business Intelligence and Data Solutions.

MicroStrategy Consultants • Data Warehousing • Business Intelligence Solutions • Project Management • Dashboard Customization & Design

51 - 200

Description

• Follow consistent practices to ensure data integrity and deal with imperfections in data. • Effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets • Work cross-functionally with development and engineering teams • Analyze large amounts of information to discover trends and patterns, draw conclusions and gain actionable insights. • Build predictive models; propose solutions and strategies for business problems • Apply the appropriate machine learning algorithm to data problems (e.g. supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.), validate model results. • Work closely with architecture and engineering team to deploy models; communicate results in a clear and non-technical manner. • Interact with senior management and effectively communicate technical information to numerous audiences (e.g. senior management, client community, peers and junior associates) • Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques • Gain support from related stakeholders for analytic solutions and champion data driven business decisions. • Apply appropriate statistical techniques to data exploration and model development/assessment • Communicate complex statistical concepts to non-technical audiences; maintain skills through continuing education. • Create meaningful data visualizations to communicate results and highlight business impact • Effectively collaborate with others to deliver efficient and high-quality code (Python or R) • Implement solid validation process to ensure consistency and minimize errors in code • Champion more efficient ways to produce code, maintain skills through continuing education; stay up to date on new technologies/ tools • Seamlessly transition between languages to apply the right approach to the problem. • Understanding of Big Data infrastructure – Hadoop, MapReduce and Spark

Requirements

• Bachelor’s degree in Computer Science, Math or Statistics is preferred • At least 4 years of professional experience in a data-related role • Good communication skills (English proficiency) • Knowledge of Statistics and Statistical Modeling • Understanding of Machine Learning and Predictive Analytics • Data analysis programming languages – Python and R (at least one) • Database languages – SQL and NoSQL (desirable) • Data Visualization – Power BI or Tableau