Dell Boomi Senior Data Scientist (Remote/Virtual)

Location: San Francisco Bay Area, CA

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Dell Boomi Senior Data Scientist (Remote/Virtual)

Are you looking for a one-of-a-kind opportunity and ready to work on world changing technologies? Are you passionate about analytics and knowledgeable about the supporting platforms that enable analytic solutions? How about building the next generation of the industry’s #1 Integration Platform as-a Service? At Dell Boomi, our vision is to harness the power of metadata by capturing the relationships and behaviors of applications and their interactions to reimagine and reinvent the customer experience.

We are one of the hottest tech companies in the SaaS/Cloud industry, and named a Leader for the 7th year in a row in the Gartner Enterprise iPaaS Magic Quadrant and recently recognized by Inc. Magazine as one of the best workplaces. Our award-winning, patented technology is transforming the world of integration by making enterprise-class integration technology accessible and affordable to companies of all sizes. Dell Boomi Product Overview:

Dell Boomi is looking for Data Scientists to drive machine learning, data mining, and statistical modeling for predictive and prescriptive enterprise analytics, and to join a talented, fast growing, driven team playing a key role in future initiatives. Successful candidates will be expected to understand data preparation needs and investigate state of the art techniques in advanced machine learning and statistical modeling, and also design, develop, and deploy state-of-the-art, scalable systems for innovative analytics applications. Applicants will be expected to work with a diverse, large set of data sources to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.

Key Responsibilities:

  • Research, design, prototype and deliver robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems, to improve the product, to increase and optimize customer experiences, and other business outcomes

  • Build cost effective tools and support structures needed to examine the data, perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices

  • Work with development teams & business groups to ensure models can be implemented as part of a delivered solution replicable across many clients

  • Present findings to stakeholders to drive improvements and solutions from concept through to delivery

  • Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand

  • Collaborate closely with university partners and other scientists and engineers in a multidisciplinary work environment

  • Prepare reports for executive team that effectively communicate trends, patterns, and predictions using relevant data.

  • Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, or R) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work

  • Ability and inclination to work in multi-disciplinary environments, and a passion for ideas realized in practice and a demonstrated ability to propose novel solutions to problems, performing experiments to show the feasibility of their solutions, and working to refine the solutions into a real-world context

Required Qualifications:

  • Bachelors in computer science or a related field with 3+ years of experience in data modeling, business intelligence.

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

  • Ability to scale production ready models and have a demonstrated history of developing and delivering analytics models and solutions

  • Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems

  • Experience working with and creating data architectures.

  • AWS experience

Preferred Skills:

  • Java knowledge is a plus

Dell Technologies is a unique family of businesses that helps organizations and individuals build their digital future and transform how they work, live and play—providing customers with the industry’s broadest and most innovative technology and services portfolio. We value our customers, winning together, innovation, results and integrity. Grow your career with a generous salary, bonus programs, world-class benefits and unparalleled learning and development opportunities— all at a company that is proud to be diverse and inclusive. Learn more on how we are closing the diversity gap here.

Dell is committed to the value of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Employment Opportunity Policy here.

Job ID: R094343

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