Data Scientist

Responsibilities:

• Building algorithms and designing experiments to merge, manage, analyze, and extract data for tailored reports to colleagues, clients or management. 
• Creating, managing, and utilizing high performance relational and NoSQL databases, such as Microsoft SQL Server, Oracle, Microsoft Access, OLAP and other software. 
• Selecting and implementing data mining methods most relevant to company projects and desired outcomes. 
• Enhancing data collection to include information relevant for building analytic systems. 
• Querying and mining large data sets to discover transaction patterns, examining data and filtering for targeted information that utilize both traditional and predictive/advanced analytic methodologies. 
• Act as a technical thought leader in collaboration with the analytics team, helping to set the strategy and standards for data science and advanced analytics. 

Requirements:

• Bachelors degree or higher in data relevant fields: Computer Science, Mathematics, Physics, Engineering, Statistics, etc. 
• Expansive knowledge of Python, and strong familiarity with R, Java, SQL, Scala, and MATLAB. 
• Solid understanding of machine learning techniques and algorithms. 
• Experienced with NoSQL databases like MongoDB and Cassandra, as well as big data platforms like Aster and Hadoop. 
• Experience with BI Viz tools such as Tableau, Cognos, Adobe Analytics or Google Analytics.
• Ability to perform in a multidisciplinary and highly collaborative environment where knowledge and sharing insights and information is critical. 
• Experience working in statistics, probability and analytics, as well as ability to present findings and trends in clear and efficient ways. 

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.