BravoTECH, a leader in IT staffing and staff augmentation services, seeks a Data Scientist for our preferred client in their Las Colinas, TX location. The qualified candidate will possess 2+ years of experience.
Under the direction of the Data Manager, the Data Scientist will work throughout the organization to leverage data to drive business solutions. The Data Scientist will analyze company data using predictive and prescriptive modeling techniques to help streamline and optimize our resources and processes.
Essential Functions
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Data preparation and cleansing to ensure data is correct, complete, and accurate.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Make data-driven decisions and recommendations
Articulately and concisely explain the implications of complex data
Analyze data contained in corporate databases to identify data integrity issues
Assist in the gathering of requirements specific to support complex technology initiatives.
Maintain relationships with third-party software integration partners as needed.
Create Use Cases, User Stories or other required technical assets based on business requirements.
Facilitate and organize meetings with project stakeholders
Other duties as assigned.
Job Requirements
Bachelor' s degree in Statistics, Mathematics, Computer Science or related field or a combination of related experience and education.
2+ years experience as a Data Scientist
Additional certifications that exemplify a desire for continued education is a plus
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using Python and PowerBI
Experience in the development and implementation of standards, procedures and guidelines to support operational processes.
Proven ability to be flexible and work hard, both independently and in a team environment