Junior Data Scientist

Mavensoft Technologies, LLC
Mavensoft Technologies, LLC

Job Overview

Candidates MUST be a strong Data Scientist who has strong programming experience with Python, R along with AWS Platforms, Big data frameworks and Machine learning skills. NOTE Willing to consider candidates outside of Portland, if the person needs to work remote NOTE This job will be remote but candidates need to be able to pick up equipment from Client location in Portland, OR Job Title Data Scientist- Junior Duration 5+ months (contract) Location Portland, Oregon Intermediate programming skills Experience with Hadoop Map Reduce or other big data frameworks, Java, Python, R, statistical modeling, SQL and text mining or machine Required skills bull Domain knowledge Can be from any vertical (utilitynon-utility) bull Programming knowledge R Python (statistical programming) bull Platform AWS bull ML engineer bull Proficient in data mining wrangling Job Description Project Overview Resource has to work on multiple projects (not a single one). We need this person to be focused on achieving outcomes, must have production implementation experience ndash must know how to engineer an ML solution, must be able to manage time, must possess good presentation skills. Team Size 2 scientists and 2 data engineers Job Responsibilities Key Responsibilities Data Collection Participatesassists in identifying what data is available and relevant, including internal and external data sources supports data collection, integration and retention requirements based on the input received ensures information used follows Client compliance, access management and control policies and meets Client qualification and assurance requirements. Collaborate with Stakeholders Works with business stakeholders to identify the business requirements and expected outcomes. With business stakeholder support, models and frames meaningful and impactful business scenarios for critical business processes andor decisions. Data Collection Data Quality Working with and alongside business analysts, information architect, and data architect, identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media. Work with Data Engineers to support data collection, integration and retention requirements based on the input received. The cost of getting the data will impact on what sources should be considered, either because the data needs to be purchased from a third party or because of the complexity of the source. Develop cost-benefit models to justify the data purchasecollation. Work with the data steward to ensure that the information used follows the compliance, access management and control policies of the organization and that it meets the qualification and assurance requirements of the business. Data stewards and data scientists will need to define the data quality expectation in the context of the specific use case. Share data quality findings with data stewardspartner with data stewards on data quality definition and standards. Analyze Data Develops data and analytics products to improve how business is conducted and increases throughput through operational efficiencies. Employs appropriate algorithms to discover patterns uses statistical and data mining packages and dedicated frameworks. Shares data quality findings with data stewards and partners with data stewards on data quality definition and standards includes experimental design approaches to validate findings by comparing appropriate samples. Develops approaches for validation. Suggest ongoing improvements to methods and algorithms that lead to findings, including new information. Timely delivery of analysis. Due to the experimental approach to the problem, data scientists are at risk of over analyzing. Being able to define a “”good enough”” result is critical. Educate Educates the Data Strategy Operations Management organization on new approaches, such as testing hypotheses and statistical validation of results. Follows best practices and guidelines, and approved modeling techniques for data science initiatives. Suggest improvements to the standards as necessary. Establish and track metrics to measure the value of data science initiatives. Desired Skills bull Communication system knowledge would be helpful. bull Experience working in a Utilities is an added advantage. Experience Required Years of experience required for this job3 to 6+ years Education Required EducationExperienceCertifications Education Requires a bachelorrsquos degree in computer science, electrical engineering, economics or other related field or equivalent experience. MSc or PhD in mathematics, statistics or computer science or related field, such as physics, economics or operations research preferred. Experience Typically 3 or more years in data science or related field prototyping and implementation experience preferred. Certifications, Licenses and Training Email your resume to usjobsmavensoft.com To learn more about Mavensoft visit us online at http httpJunior Data Scientist 1

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