Data Scientist

BE PART OF BUILDING THE FUTURE. What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse?  The answer is data, -- all fast moving, fast growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with Pure Storage. Pure’s vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data. With 11,000+ customers including 58% of the Fortune 500, we’ve only scratched the surface of our ambitions .  Pure is blazing trails and setting records: For nine straight years, Gartner has named Pure a leader in the Magic Quadrant  Our customer-first culture and unwavering commitment to innovation have earned us a certified Net Promoter Score in the top 1% of B2B companies globally Industry analysts and press applaud Pure’s leadership across these dimensions And, our 5,000+ employees are emboldened to make Pure a faster, stronger, smarter company as we go If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark. PURE IN PRAGUE We opened our R&D Second Home (besides the one in Silicon Valley) in Prague in January 2020 and since then we have experienced unbelievable growth. Our Engineers are solving complex engineering problems (from low-level system software to cloud computing) that help us innovate our cutting-edge products. Besides our world-class Software Engineering teams, we have many other talented colleagues working in Product Management, Sales, Finance, and HR to name a few. What’s more, we’ve developed these teams from talent across the globe. ABOUT THE ROLE We are looking for a Senior Data Scientist to join our team and lead the development of advanced analytics solutions. In this role, you will be responsible for designing and implementing algorithms, models and statistical analyses to extract insights from complex data sets. You will work closely with cross-functional teams to identify business opportunities and develop data-driven solutions that improve our products and services. The ideal candidate has a deep understanding of machine learning, data mining and statistical analysis, as well as experience managing and mentoring junior data scientists. If you are passionate about leveraging data to drive business value, we encourage you to apply. IN THIS ROLE, YOU WILL... Work on new Data Engineering projects from start to finish Architect machine learning approaches to a custom problem, such as optimizing placement of workloads in a system Develop and deploy sophisticated machine learning models Improve the accuracy of our core models for predicting customer workloads by analyzing the data for new features Work with large volumes of structured and unstructured data, applying techniques such as feature engineering and dimensionality reduction Collaborate closely with stakeholders, such as product managers, business analysts, and executives, to understand business needs and develop data-driven strategies Implement new ML methods, such as isolation trees, LSTM's to improve our time series modeling and anomaly detection systems Writing production code to run and serve these models Writing platforms and pipelines for training and running machine learning models Explore new algorithms, tools, and methodologies, and may contribute to research papers or publications Provide technical guidance, mentorship, and support to junior team members and participate in hiring and training activities to build a strong data science team WHAT YOU’LL NEED TO BRING TO THIS ROLE... A minimum of 10+ years of experience on a data or machine learning team  Deep understanding of various algorithms, such as regression, classification, clustering, and deep learning, and apply them to solve business problems You know how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis Skills in statistical analysis, machine learning, strong programming skills in languages such as Python or R, and proficiency in SQL for data retrieval and manipulation Have a solid understanding of data manipulation, feature engineering, model selection, and evaluation Experienced in handling missing data, outliers, data normalization, and feature engineering techniques to improve model performance with proficiency in algorithms such as decision trees, random forests, support vector machines, neural networks, ensemble methods, and natural language processing Skilled at identifying critical factors, designing appropriate experiments, and developing innovative solutions.  Well-versed in utilizing libraries and frameworks such as NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch Experience in successfully implementing and leveraging data science techniques to solve complex problems, optimize processes, improve decision-making, and contribute to the overall success of their teams and organization Hands-on experience with data privacy regulations, ethical considerations, and data governance Experience using Python, Jupyter Notebooks, SQL, and AWS Familiarity with data visualization tools like Tableau Experience with selecting appropriate models and handle challenges like overfitting and bias Experience mentoring junior engineers into effective individual contributors BE YOU—CORPORATE CLONES NEED NOT APPLY. Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expand into different roles, joining Pure is an investment in your career journey. Through our Pure Equality program, which supports a flourishing field of employee resource groups, we nourish the personal and professional lives of our team members. And our Pure Good Foundation gives back to local and global communities through volunteering and grants. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. PURE IS COMMITTED TO EQUALITY. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.  If you need assistance or an accommodation due to a disability, you may contact us at TA-Ops@purestorage.com . APPLICANT & CANDIDATE PERSONAL INFORMATION PRIVACY NOTICE. If you're wondering how or why Pure collects or uses information you provide, we invite you to check out our Applicant & Candidate Personal Information Protection Notice .