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  <div class="vevent h-event"> <h1 class="summary p-name">Data Science Career Paths and Business Adoption</h1> <div class='date'><time class="dtstart dt-start" title="2018-03-15T08:30:00" datetime="2018-03-15T08:30:00">Thursday, March 15, 2018 from 8:30</time>–<time class="dtend dt-end" title="2018-03-15T11:30:00" datetime="2018-03-15T11:30:00">11:30am</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395548'><span class='fn org p-name'>Nike Victory (EDO)</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">15475 SW Koll Pkwy</div> <span class="locality p-locality">Beaverton</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97006</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=15475%20SW%20Koll%20Pkwy,%20Beaverton%20OR%2097006%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Many are interested in data science as a career. In this presentation, we’ll break data science down into smaller pieces that can be better understood and might help you with deciding if some or all of data science is a career path that you want to pursue. We’ll also get into some of the additional skills critical to success as a data scientist with the objective of being effective and/or contribute meaningfully to a data science project, and not just get the job title.</p> <p>Beyond the more mechanical question of what it takes to be a data scientist, we’ll also talk about business adoption of data science into business processes and decision making. These two topics tie together when we think about being effective with data science.</p> <p>Some questions we’ll try to answer:</p> <ul> <li> What different kinds of data scientist (and data science) exist? </li> <li> What different kinds of work exists under the data science umbrella? </li> <li> Technical skills needed. </li> <li> Business skills needed. </li> <li> How can a non-data scientist contribute to a data science team? </li> </ul> <p>Bring your questions and let’s go exploring!</p> <h3> Speaker: Asoka Diggs - Data Scientist @ Intel </h3> <p>After 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture, Asoka completed his MS Predictive Analytics at Northwestern University and has been a practicing data scientist for 4 years.</p> <p>His daily technical work focuses on text analytics and figuring out how to optimize performance for processing bigger and bigger data sets. He also has a passion for the organization transformation involved in adopting analytics as a source of competitive advantage, exploring critical questions such as: How does an organization get there? What needs to be done? What organization design and leadership changes are needed to get the most benefit from analytics?</p> <h3> Schedule </h3> <p>8:30 – 9:00 am – Sign In <br> 9:00 – 10:15 am – Presentation <br> 10:15 – 10:30 am – Break, Chapter Announcements <br> 10:30 – 11:30 am – Presentation continued</p> <h3> Cost </h3> <p>Free for members (including ALL employees of <a href="https://damapdx.wordpress.com/about-damapdx/corporate-members/">corporate members</a>) <br> $15 for non-members<br> $5 for students with valid student ID</p> <h3> About DAMA Portland </h3> <p>The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.</p> <p>Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.</p> <p>The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Please join me, the rest of the DAMA board, and other fellow lovers of data at this regular chapter meeting in downtown Portland. For more information and to register go to: <a href="http://www.damapdx.org/">http://www.damapdx.org/</a></p> <h3> Future Presentations </h3> <p>April (19-Apr): Meta Data Catalogs for Modern Data Lakes <br> May (17-May): Real Time Databases<br> June (21-Jun): Data Management for the Internet of Things<br> July (19-Jul): Real Time Databases</p> <br> <p>Thanks for your support of local Data Education, we look forward to seeing you there!</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://damapdx.wordpress.com/2018/02/01/march-2018-data-science-career-path/">Website</a></li> </ul> </div>