Data Scientist I Jobs

Data Scientists are responsible for modeling complex business problems, discovering new business insights and finding opportunities through the use of algorithmic, statistical, data-mining and visualization techniques. In addition, this role also integrates and prepares large, varied datasets and designs and builds specialized databases and computing environments (data modelling development and architecture). The incumbents communicate and present results of their research in a structured and clear way that can be easily understood by various business stakeholders and clients. Ultimately, the Data Scientists work closely with various stakeholders across the Corporation to turn data into meaningful insights that is then used to make sound business decisions.

• Provides relevant business metrics for projects to substantiate and demonstrate improvements.
• Consistently demonstrates high standards of integrity by supporting the Company mission and values and adhering to the Corporate Code of Conduct
• Uses the expected assurance and qualification of information to quantify the accuracy metrics of analysis.
• Works with business analysts to suggest other possible solutions of interest to the client.
• Regular and reliable attendance is expected and required.
• Works under general supervision to model moderately complex business problems, discover business insights and identify opportunities through the use of statistical, algorithmic, data mining and visualization techniques.
• Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.
• Monitors and tracks the performance of decision systems and statistical models on an on-going basis.
• Performs other functions as assigned by management.
• Discovers patterns in data through the employment of appropriate algorithms.
• Assists in solving client/stakeholder business problems and documents results and methodologies.
• Models and frames business scenarios that are meaningful and have impact on critical business processes and/or decisions.
• Identifies business requirements and anticipated outcomes by working with company stakeholders.
• Works in iterative processes and validates findings.

• Master’s Degree in Data Science, Data Analytics or Computer Science (or equivalent technical field). In lieu of a Master’s Degree, a Bachelor degree in equivalent fields plus applicable 3-5 years of relevant data science work would be considered.
• 3-5 year of experience with a general-purpose programming language such as Python/R (applied to big data frameworks such as Hadoop MapReduce, Spark, others).
• 3-5 year of experience using databases, manipulating large datasets, developing ETL (Extract, Transform, Load) routines and various data cleansing and data normalization process and techniques.

• Demonstrable ability to quickly understand new concepts and to come up with original solutions to various mathematical issues.
• Demonstrates the following scientific qualities in work: significance, breadth, depth, clarity, accuracy, precision, relevance, logic and fairness.
• Experience in the use of statistical packages and their interpretations for machine learning (such as R/Python or Enterprise Miner) such as: Linear/Logistic regression models, PCA/SVM, boosting techniques, cluster analysis, neural networks.
• Familiarity with basic principles of distributed computing, databases and schema.
• Strong communication and interpersonal skills.

$83,000 - $113,295

• Wellness Programs
• Tuition Reimbursement
• Incentive Plans
• Comprehensive health benefits (Medical/Dental/Vision)
• Retirement Plans
• Paid Volunteer Time Off
• Generous PTO