Data Scientist

Data Scientist
Information Technology

Job Description:

Data Scientist

Data Scientist Roles and 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.
• Gathering, standardizing, and analyzing voluminous electronic data, such as records, general ledgers, sales and inventory data, etc.
• Creating and monitoring anomaly detection systems.
• Building predictive models and presenting information using data visualization tools and techniques.
• Develop proven methods and strategies for the larger Data Scientist team.
• Collaborating with engineering and product development teams.
• Querying and mining large data sets to discover transaction patterns, examining financial data and filtering for targeted information that utilize both traditional and predictive/advanced analytic methodologies.
• Keeping the company current with the latest technology, techniques, and methods.
• 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.

Data Scientist Skills/Requirements

• Bachelor's degree or higher in data relevant fields: Computer Science, Mathematics, Physics, Engineering, Statistics, etc.
• 3+ years working experience in a Data Scientist role (or related field).
• Expansive knowledge ofPython, and strong familiarity with R, Java, SQL, Julia, Scala, MATLAB and TensorFlow.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM, Nave Bayes and Decision Forests.
• Highly 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), Adobe Analytics and Google Analytics.
• Ability to perform in a multidisciplinary and highly collaborative environment where knowledge and sharing insights and information is critical.
• Familiarity with data visualization tools including ggplot2 and D3.js.
• Experience working in statistics, probability and analytics, as well as ability to present findings and trends in clear and efficient ways.

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Job Details

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