Senior Data Scientist

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          "text": "<p><span><span><span>Are you interested in applying machine learning or data mining on problems that truly improve people’s life? We’re looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather’s impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. </span></span></span></p><p><span></span></p><ul><li><p><span>Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals.</span></p></li><li><p><span>Research, recommend, and implement statistical post process correction techniques using proprietary forecasts.</span></p></li><li><p><span>Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc.</span></p></li><li><p><span>Improve operations by conducting systems analysis; recommending changes in policy and procedures.</span></p></li><li><p><span>Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required.</span></p></li><li><p><span>Continuously build your knowledge by studying new scientific methodologies and techniques.</span></p></li><li><p><span>Play an active role in the product requirements process, giving feedback to product management when challenges arise.</span></p></li></ul>",
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          "text": "<ul><li><p><span>MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline.</span></p></li><li><p><span data-mce-mark=\"1\">3-5 years of relevant professional experience, with demonstrated achievements.</span></p></li><li><p><span data-mce-mark=\"1\">Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.</span></p></li><li><p><span data-mce-mark=\"1\">Experience using/implementing non-parametric regression such as  Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM</span></p></li><li><p><span data-mce-mark=\"1\">Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus.</span></p></li><li><p><span data-mce-mark=\"1\">Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary.</span></p></li><li><p><span data-mce-mark=\"1\">Knowledge of ensemble learning techniques and probabilistic forecasts is a plus.</span></p></li><li><p><span data-mce-mark=\"1\">Programming capabilities including C++, Java, Python is a plus but not necessary.</span></p></li></ul>",
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          "text": "<p><span>The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.</span></p><p><span>&nbsp;</span></p>",
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