Job description

Overview Our Business Intelligence team are looking for an entrepreneurial, collaborative person with strong hands-on experience and solid track record with statistical analysis, machine learning, predictive analytics, and software engineering to help us on our mission to build world class predictive solutions for the enterprise. Responsibilities Consult closely with colleagues to understand their needs Research and determine the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud Write custom programs using supervised and unsupervised algorithms to build machine-learning models that optimize outcomes and deliver refined results Develop processes and tools to monitor and analyze model performance and data accuracy. Mine data using advanced techniques such as Regression, Clustering, Random Forest, Text Mining, NLP, and Neural Networks to provide in-depth insights from data Requirements 5+ years of practical machine learning experience Experience in building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniques A fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes’ theorem, Random Forests, time series analysis, and more Proficient in SQL, Python, PySpark, PyTorch, PyTorch Lightning, Scikit, Distributed Data Parallel, Distributed Model Parallel Strong communication skills, including to non-technical audiences Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the US Bachelor's in mathematics, statistics, computer science, or a similar field Recommended Qualifications Familiarity with one or more of the following: Git, Pytorch, Tensorflow, CUDA/GPU programming Experience handling massive batch/streaming data using big data tools and storage, such as Apache Spark Experience interacting with AWS, Azure, Fabric, or other cloud service Experience building reinforcement learning models #LI-JH2 #LI-OnsiteTotal Rewards Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.A reasonable estimate of the base salary range is$95,680—$164,320 USDThe Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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