Analyze your CV for Data Scientist at Off Grid Electric

PositionOff Grid Electric is seeking an experienced Data Scientist, who will establish the patterns and methods of leveraging very large data sets to build better tools, and design analytics to inform how the organization approaches its mission. With a holistic understanding of our customers and business, the data scientist works to ensure we have clean, meaningful data, and then help us rapidly understand and use the resulting insights inside our product and operations through machine learning techniques. Responsibilities for this position includes:Create methods for acquiring sufficient quantity and accuracy of data, needed to produce meaningful insights in key areas of businessWrite and maintain general guidelines to be used by engineering and operations in the collection of dataDefine specifications for data collection, around specific features and business processesCreate quality controls/auditing measures to ensure trustworthiness of the data collectedDesign data feedback loops within products to promote data collectionAcquire third-party public or commercial datasets to enhance our analytical reachCollaborate with technical and business stakeholders to identify key questions to answerIterate on analytical models to identify predictive markersConduct big data explorationsTrain peer analysts in advanced analytics techniquesDesign and help build machine learning into our platform and related productsFind creative ways to generate value from existing dataConduct research into new technologies, algorithms and techniquesLead the development of a product from prototype through to productionDevelop novel machine learning techniquesLead internal programs to spread understanding of uses and methods of dataWork with software practice to embed data streams and machine learning into featuresCollaborate with project leaders to orient work around data thinkingDefine and maintain measures of company-wide adherence to data processesRequirementsEducational, technical and analytical skills:BS Computer Science, Engineering, Mathematics & Statistics or Advanced Science (or equivalent work background) is essential.  MS or other advanced studies/certification in data science or related disciplines is an added advantage.3+ years of professional or academic data science experience, with demonstrated expertise in statistics, machine learning, data visualization and other relevant fieldsMastery of SQL, Python and R and/or relevant programming languages/toolsAdvanced knowledge of Apache Hadoop, Apache Hive and Apache PigKnowledge of ETL, analytics and big data tools such as Luigi, Looker, Apache Storm, Spark, and/or related toolsKnowledge of MATLAB and Scikit-learn or similarFamiliarity with Amazon AWS services like AWS Lambda and AWS RedshiftKnowledge of microservice architectureFamiliarity working with unstructured data sourcesExpertise in creating hypotheses, using a methodological approach, quantifying the results, and obtaining actionable insightsStrong business acumen and problem-solving skillsExperience in processing real-time data in productionMachine learning skillsCompetencies:Ability to work unsupervised and communicate effectively across organizational boundariesKnowledge of financial principles and strategic planning skillsCustomer focused attitude with sufficient relationship management skillsEffective communicational and strong interpersonal/people management skillsHighly organized with effective time management skillsNot hesitant to challenge the status quo and to be innovative in technical as well as business domainsOther informationThe opportunity to directly improve millions of lives. By bringing sustainable electricity to a part of the world where 90% of people have no grid access.Few other activities can provide as fundamental impact to human lives as this.Some of the smartest, most committed, and hardest working co-workers in a distributed environment.