Job Description:

As part of a leading IT managed services specialist with more than 12,000 associates worldwide, we rely on the personal relationships we build with our consultants and the clients who depend on them. Join the eXcell team.Our client has a brand new opportunity for a qualified Data Scientist to join their team for an onsite position in Seattle, WA. This resource will play a crucial role in advancing the clients data-informed decision-making processes by applying advanced statistical, analytical, and machine learning techniques to complex institutional data. This role will be responsible for technical development and deployment end-to-end analytical lifecycles. The Data Scientist will develop, improve, and maintain data models, code, and performance of production level data models to ensure timely, accurate, and sustainable analyses. The Data Scientist plays a collaborative role through the continuous improvement of data ingestion, standardization, reporting and interpretation of predictive and descriptive analytics.Data Analytics Life Cycle:Model Design: Translate business requirements and stakeholder requests into technical requirementsEvaluate technical requirements to identify data requirements and / or gapsEvaluate the appropriateness of analytical approaches and advise on best practices for model identification in coordination with the Lead Data ScientistCollaborate with data stewards, system subject matter experts, and stakeholders to ensure data accuracy and identify data ingestion pipelines and improvementDevelop subject matter expertise for critical or Client data models or systemsAutomate and integrate ad hoc analysesData Engineering: Develop initial analytical models to extend or enhance production modelsIndependently or in partnership with the BI Engineer, create data pipelines for data ingestionTransform data for model ingestion using available frameworks such as AWS, CSV files, and databasesProfile data to explore and validate data content, structure, and establish error detection functionsSupport strategic initiatives and special projects through continuous improvement and automation of prototype and production data models and analysesModel Engineering: Execute algorithms and processes to obtain key findingsDevelop standard procedures to write, train, and test appropriate analytical or machine learning models including feature engineering and hyperparameter tuningCollaborate with Lead Data Scientist to ensure the model meets original objectives and address any questions about data and methodological validityDocument metadata, transformations, and pipeline processesAnalytical Operations: Deploy analytical models into production environmentPrepare the model artifact for production environmentEnsure accurate version control of code and data processes ensuring that modification or enhancements are through continuous improvement / continuous development pipelinesEstablish and automate model performance monitoring and re-training triggersProvide training and ongoing support to users of analytical productsAnalytical Findings: Provide timely interpretation and validation of predictive models to stakeholdersDesign and create data visualizations, dashboards, scorecards, and reports to effectively communicate complex insight from models to client stakeholdersCollaborate with Lead Data Scientist to ensure findings meet statistical and internal standardsCollaborate with BI developer to integrate data or findings into existing reporting or new reportsCollaborate with the Director of Decision Support to ensure stakeholders have sufficient understanding of methodology and findings to guide decision making processRelationship Management: establishing and maintaining relationships across the team and cross-functionallyManagement of competing priorities and expectations across different teams and stakeholdersEffective communication and collaboration skills, especially in working with cross-functional teams and staff across diverse institutional research initiativesCollaborate across the Decision Support team and cross-functionally to solicit feedback and continuously improve operations and analytical productsSurvey Data and Analysis:Collaborate with client users to improve survey design, administration, and analysisAct as client Qualtrics brand administratorResearch and Innovation:Stay up to date with best practices and emerging trends in data science, institutional research, Client operations and higher education, and recommend changes to analytical methodologies and tools as needed to ensure the client remains competitive and effectiveSkills and Qualifications:Advanced understanding of data analysis including descriptive statistics, predictive and explanatory statistical modeling techniques, and data mining or embedded analytics techniques, typically requiring a graduate degree in statistics or a statistical social science field or equivalent experienceMinimum 5+ years of professional work experience in higher education Knowledge of the data sources, metrics, and analysis best practices in higher education Ability to lead and collaborate with faculty and staff across a comprehensive set of institutional research initiatives and projectsProficiency programing with Python or R with experience writing efficient and optimized codeKnowledge of machine learning algorithms, including supervised and unsupervised learning techniques such as regression, decision, trees, random forests, clustering algorithms, and neural networksUnderstanding of the strengths and limitations of statistical and machine learning algorithms for model selection and optimizationExpertise in data preprocessing techniques, such as data cleaning, normalization, and feature scalingProficiency in evaluating and validating machine learning models using appropriate performance metrics, cross-validation techniques, and methods like precision, recall, ROC-AUC, and confusion matrices is crucial. Experience in tuning hyperparameters to optimize model performance is also importantExperience with data warehousing and relational databases including big data processing frameworks like Apache Spark or AWS as well as managing large-scale datasets using SQL or HadoopKnowledge of data visualization and executive dashboard development techniquesAbility to solve problems, work effectively independently and as a part of a team, manage multiple short- and long-range projects simultaneously, and design and conduct institutional research studies Ability to interpret and apply federal and state regulations and Client policies governing the appropriate use and dissemination of student, employee, and institutional dataStrong oral and written communication skills Proficiency with MS Office software including Excel, Access, Word, and PowerPointStrong attention to detail and accuracyStrong interpersonal skillsPositive attitude and ability to work with individuals from a variety of backgrounds and ability levels$45.00 per hourFull COVID-19 vaccination may be required.We offer a comprehensive benefit package that you can elect into including but not limited to: Health Insurance (Medical, Vision, Dental), 401k, Basic Life/AD&D, Supplemental Insurances Plans, Paid Time Off Plan, Paid Holiday, Paid Sick Leave plan, FSA/HSA Pre-Tax Benefits, Employee Discounts.W2 only, no Corp to Corp. We are unable to sponsor H1B visas at this time. eXcellâ„¢ Supports Equal Employment Opportunity eXcellâ„¢, a division of CompuCom® Systems, Inc., a global company headquartered in Bellevue, Washington, provides IT staffing services and solutions to Fortune 1000 companies as well as small and medium business. For more information, visit .#INDEXL