Data Science Engineer (0499U) 25618 About Berkeley
At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
The University of California, Berkeley, is one of the world`s leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.
We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles , our Principles of Community , and our Strategic Plan .
Research, Teaching, and Learning (RTL) at UC Berkeley supports the teaching and research needs of faculty, students, and academic staff by offering expert consulting, providing vetted tools and essential services, and advocating for its broad constituency and mission-focused portfolio with campus policy makers and vendors. The combination of enterprise teaching and research technology groups within RTL improves coordination across functions; provides a richer, more seamless experience for end users; and creates opportunities for innovation. RTL has dual reporting lines to the Vice Chancellor for Undergraduate Education and the Office of the CIO.
Approach to Diversity, Inclusion, and Belonging:
Research, Teaching, and Learning believes in and fosters a workplace environment where people can bring their diverse skills, perspectives and experiences toward achieving our goals through a process of critical inquiry, discovery, innovation, while simultaneously committing to making positive contributions towards the betterment of our world. Diversity, Inclusion, and Belonging are more than just suggestions for us. They are the guiding principles underlying how we come together, develop leaders at all levels of the organization, and create an environment that unites us. We affirm the dignity of all individuals, call upon our leaders to address critical issues with integrity and intention, respect our differences as well as our commonalities, and strive to uphold a just community free from discrimination and hate.
About the Position:
Research, Teaching, and Learning (RTL) at UC Berkeley is looking for an experienced data engineer with a data science background to be part of a new initiative supporting Learning Analytics. We`re looking for someone with strong analytical skills to work with the data science team providing insights to campus leadership, faculty, students, and staff in support of student development, promoting academic DEIB practices, and understanding the effectiveness of teaching practices. Flexible work arrangements will be considered for this position.
Apply technical expertise with data engineering, experimentation, data mining, data visualizations and reporting to deliver insights to our business solutions & partners.
Develop highly available, scalable data pipelines (ETL processes) and validation tools using Python, SQL and AWS cloud technologies.
Partner with the data science and engineering teams to deliver high quality data science powered solutions to interesting problems in Learning Analytics.
Use best in breed coding practices and industry standards to develop high quality solutions that are optimized, performant, and well tested.
Manage concurrent requests from cross-campus and cross-functional teams -- must be able to strategically prioritize when necessary.
Strong skills developing production-grade applications and services in Python and possibly other programming languages. Code must be well-written, secure, and well documented.
Experience with RESTful web services design, microservice architectures, distributed computing, standard data formats, and systems integration.
Demonstrated experience with data mining, machine learning, data science and data interpretation techniques.
Demonstrated experience using data science libraries in Python, SQL, R etc. to transform, clean, analyze, and model data; report statistics; generate insights.
Experience engineering with large-scale data processing frameworks like Apache Spark, Kafka, Redshift etc.
Experience with public cloud technologies - for example, AWS services like Redshift, S3, EMR, Glue, Sagemaker, EC2 or similar technologies.
Education and Training
Bachelor`s degree in related area and / or equivalent experience / training.
Applied experience in independently building machine learning models using popular ML/DL frameworks like scikit-learn, SparkML, nltk, Keras, Tensorflow etc.
Experience with management of terabyte size datasets of semi-structured and unstructured formats to discover hidden patterns.
Experience with productivity software like JupyterHub, Tableau, etc to create user friendly dashboards, data visualizations, reports, presentations, etc.
Ability to present complex findings and recommendations to cross functional partners in a clear and concise manner both in writing and verbally.
Should be very knowledgeable about data quality, security and governance standards and requirements for handling sensitive data. (for example, Family Educational Rights and Privacy Act, or FERPA).
Familiarity with open learning data standards xAPI, Caliper is desired.
Familiarity with logical data design and data mapping and data conversion.
Degree in Data Science preferred.
Salary & Benefits
Hiring Range: $120,000 - $130,000 annually. Salary commensurate with experience. For information on the comprehensive benefits package offered by the University visit:
University of California Berkeley looks for a Data Science Engineer (0499U) 25618 in Berkeley, CA 94720 location.
The proposed salary for Data Engineer Jobs position at University of California Berkeley is $120,000 - $130,000 a year.
According to the common industry standard, Data Engineer Jobs specialist is in charge for the following activities.
To be disscussed with candidate
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