Sr. Data Scientist

Orion Novotus, a division of Orion Talent, consults with a variety of industrial clientele who share a common and critical need - <strong>Exceptional People</strong>.

Newark, CA

Orion Novotus

<h3>WHO IS ORION NOVOTUS?</h3> <p>An award winning RPO provider, Orion Novotus provides businesses with recruitment process outsourcing (RPO) and consulting services that result in measurable, lasting workforce improvements: better hires, shorter hiring cycles, lower costs and greater efficiency. Our commitment to excellence in recruiting fundamentals has made us both a leader across the industry and a trusted partner embedded in our clients&rsquo; talent organizations.</p> <p>Acquired by Orion Talent in 2016, the company has greatly expanded its reach and capabilities to meet the complex talent needs of businesses today. With offices from coast to coast and a recruiting force of hundreds, Orion Novotus provides a full range of recruitment optimization and consulting solutions, from project-based and co-sourced solutions to comprehensive recruitment process outsourcing.</p>

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Overview: <p>We are seeking to hire a <strong>Data Scientist </strong>to join an extraordinary team. This position is remote but being in the Western US is preferred.</p>
Responsibilities: <ul> <li>Provide feedback on data quality in relation to statistical needs.</li> <li>Work on cross-functional teams, to define, develop, and drive predictive analytics capabilities as related to machine performance metrics.</li> <li>Identify, analyze, and interpret trends or patterns in complex data sets to develop a reporting framework, to be converted into automated reports.</li> <li>Filter and &ldquo;clean&rdquo; data, review data reports and performance indicators to identify data collection needs and improvements</li> <li>Work with product experts to define and apply new queries as related to the product and known faults, expanding the product fault database.</li> <li>Develop analytics-based models that assist in predicting machine performance and machine failure.</li> <li>Track and manage machine performance metrics to identify and prioritize improvement efforts across the Services organization, with emphasis on predictive analytics.</li> <li>Work with database administrator to improve database functionality and efficiency.</li> </ul>
Requirements: <ul> <li>Bachelor&rsquo;s degree in Computer Science, Information Management, Statistics, Mathematics, or related field. Evidence of continuous professional development within a relevant discipline.</li> <li>Working knowledge of python, R, Hadoop/Hadoop Spark, ScyPi, Pandas, PostgreSQL, and data mining.</li> <li>5 years of experience as data scientist/analyst with technical expertise in data models, database design and development, data mining, and segmentation techniques.</li> <li>Strong Excel and PowerPoint experience (Financial applications, data compilation, and aggregation) to include experience with VBA and macro programming in Excel.</li> <li>Experience with reporting packages (Business Objects, other), databases (SQL, other), and programming (XML, Javascript, or ETL frameworks).</li> <li>Strong analytical skills with the proven ability to collect, organize, analyze, and disseminate significant amounts of information, with focus on detail and accuracy.</li> <li>Experience of working internationally is a plus.</li> <li>Experience with software development and integration process through a development lifecycle in an Agile development environment.</li> <li>Application development and communication between applications in large distributed networks, and cloud applications is a must.</li> <li>Portfolio or past applications/work from Github or other relevant repository to be reviewed upon application.</li> </ul>