<div dir="ltr"><div>Hello,</div><div><br></div><div>We would very much appreciate it, if you could post the following opportunity:</div><div><div><br></div><div>~~~~~~~~~~~~~~</div></div><div><br></div><div><b>Data Scientist Position</b></div><div>Aclima, Inc.</div><div>Analytics Group</div><div>San Francisco, CA, USA</div><div><br></div><div>Aclima is an early-stage company based in San Francisco that designs and deploys distributed, large- scale sensor networks to empower people with actionable environmental quality data. Our end-to-end solutions collect, process and analyze real-time streaming data from thousands of sensors, enabling a level of environmental awareness that has never been possible before. We believe our technologies can redefine the way we imagine and manage our buildings, communities, and cities, helping us improve our collective well-being.</div><div>To accomplish this mission, our Analytics team actively focuses on the systematic exploration and analysis of a large dataset that grows by millions of points every day. The team's goals include sensor characterization, development of methodologies and tools to help users make better decisions and contributions to environmental science. To do so, our Analytics team is looking for a Data Scientist animated by our passion for the environment and for data.</div><div><br></div><div><b>Job Description:</b></div><div><br></div><div>As a Data Scientist, you will use machine learning techniques to characterize sensor performance, classify event types, detect anomalies and engage in network analysis among others. You will also work with other members of the Analytics team on ad-hoc studies. You will present your results and insights both internally and externally.</div><div>You will also collaborate with other Aclima teams to provide feedback on data collection and management methodologies, and on product development. As a member of the Analytics team, you will additionally participate in the development of white papers, in the management of new knowledge and interact with clients/partners.</div><div><br></div><div><b>Your Description:</b></div><div><br></div><div>We want to hear from you if you can demonstrate your experience in:</div><div><ul><li>Extracting and analyzing data from multiple sources (e.g. usage of APIs, web scraping) Identifying data issues, investigating and finding problem sources<br></li><li>Using signal processing techniques and advanced statistical methods<br></li><li>Using your understanding of instrumental design to properly interpret detected anomalies Implementing at least 2 of the following machine learning techniques: classification algorithms, predictive analytics, pattern recognition<br></li><li>Developing data visualizations<br></li><li>Presenting complex concepts in an understandable way to a business oriented/less technical audience<br></li><li>A minimum of a Masters degree in atmospheric science, physics, mathematics, statistics or in a related scientific/analytical field<br></li></ul></div><div>Pluses:</div><div><ul><li>Previous work in a scientific domain involving analysis of data obtained from physical instrumentation<br></li><li>Experience in anomaly detection, knowledge of built environment, sensor performance modeling Experience working on distributed computing systems<br></li><li>We also expect you to:<br></li><li>Be a critical thinker and a problem solver<br></li><li>Have excellent written and oral communication skills Be autonomous and able to work with other teams<br></li><li>Take initiative<br></li></ul></div><div>Competitive compensation package and benefits. Must be authorized to work in the U.S.</div><div><br></div><div>If interested, please apply at <a href="http://boards.greenhouse.io/aclima">boards.greenhouse.io/aclima</a></div><div><br></div><div>~~~~~~~~~~~~~~</div><div><br></div><div>Thank you.</div><div><br></div><div>Best regards,</div><div>Alexandra.</div><div class="gmail_signature"><div dir="ltr"><font color="#666666">____________________</font></div><div dir="ltr"><font color="#666666"><br></font><div><font color="#666666">Alexandra Teste</font></div><div><font color="#666666">Senior Data Scientist</font></div><div><font color="#666666"><br></font></div><div><div style="font-family:arial,sans-serif;font-size:13px"><font color="#666666">ACLIMA INC</font></div><div style="font-family:arial,sans-serif;font-size:13px"><font color="#666666">10 Lombard St. Suite 250 | San Francisco, CA 94111</font></div></div></div></div>
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