Data Science / Machine Learning / Big Data Engineer - Lead

Compensation

: $98,870.00 - $200,310.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Data Science / Machine Learning / Big Data Engineer - Lead

Req #: 190092502

Location: New York, NY, US

Job Category: Technology

Job Description:

As an experienced member of our Software Engineering Group we look first and foremost for people who are passionate around solving business problems through innovation & engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally

This role requires a wide variety of strengths and capabilities, including:

* BS/BA degree or equivalent experience
* Expertise in application, data and infrastructure architecture disciplines
* Advanced knowledge of architecture, design across all systems
* Proficiency in multiple modern programming languages: Python is a must, Java, Scala, C++; Experience in Big Data Technology with Hadoop, Spark
* Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture
* Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones. We move 20% of US$ around the globe every day. The possibilities with this data are endless.
* Collaborate with product managers, data scientists, engineers, end users, and other stakeholders to integrate data discoveries and processes into operational capabilities
* Be a data storyteller, deliver practical data insights in a compelling manner to senior leadership. Articulate findings clearly and concisely including presentations, discussions and visualizations.
* Experience in writing Machine Learning Algorithms at scale and Time Series Modeling.
* Experience with data management, manipulating large data sets through statistical software and data warehousing environments processing large volume of transactions.

Highly Desirable Skills:

SparkML, TensorFlow, Panda, NumPy, scikit-learn, NLTK, PySpark, R, Jupyter, Tableau, JPMC Athena, Impala, big data experience, data science and machine learning experience.

CIB (Corporate & Investment Bank)

Our Corporate & Investment Bank relies on innovators like you to build and maintain the technology that helps us safely service the world's important corporations, governments and institutions. You'll develop solutions for a bank entrusted with holding $18 trillion of assets and $393 billion in deposits. The Corporate & Investment Bank provides strategic advice, raises capital, manages risk, and extends liquidity in markets spanning over 100 countries around the world.

When you work at JPMorgan Chase & Co., you're not just working at a global financial institution. You're an integral part of one of the world's biggest tech organizations. In our global technology centers, our team of 50,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $11B annual investment in technology enables us to hire people to create innovative solutions that are transforming the financial services industry.

At JPMorgan Chase & Co. we value the unique skills of every employee, and we're building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you're looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.


Associated topics: data administrator, data analytic, data engineer, data integrity, data manager, data warehousing, mongo database administrator, sql, sybase, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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