Data Scientist - Diversity, Equity & Inclusion

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Information Technology
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LD-Laboratory Directorate
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94864 Requisition #

Lawrence Berkeley National Laboratory has a new opportunity for a DEI Data Scientist to join the Inclusion, Diversity, Equity, and Accountability (IDEA) team. The IDEA office is a central driver and enabler of our organization’s IDEA strategic plan. Our goal is to embed principles of inclusion, diversity, equity, and accountability into every level of Berkeley Lab’s culture and into its mission-driven work of bringing science solutions to the world.

 

On the IDEA team, we raise awareness of the importance of IDEA in sustaining our mission and we design, implement, and evaluate evidence-based IDEA interventions and initiatives for the organization in partnership with many different stakeholder groups. As our IDEA program expands and matures, we seek to more closely leverage quantitative and qualitative data across the full employee lifecycle (e.g., demographic representation across stages, hiring, selection, promotion, attrition, engagement) to better pinpoint where barriers exist and for whom (i.e., for which different segments of our population), what additional research we may need to conduct beyond our Affirmative Action Plan to understand why these barriers exist, and build and evaluate the progress of tailored initiatives to remove or mitigate those barriers to increase experiences of inclusion, belonging, and equity for all employees.

 

Therefore, we are looking for an IDEA Data Scientist who will lead analysis of people-related qualitative and quantitative data and generate key insights, providing analytical support to the IDEA team and its key stakeholder groups, including Berkeley Lab leadership. The IDEA Data Scientist, along with the IDEA team, will explore issues of organizational health and will be responsible for harnessing employee and employee resource group feedback to drive people and cultural development. 

 

Our ideal candidate possesses the following:

  • Initiative & Ownership: You are proactive and want to take ownership over this role and its evolution over time! When you don’t know how to do something, you’re motivated to do the work to figure out how to proceed.
  • Avid Problem-Solving: You love finding problems and solving them; you can spot opportunities for improvement but always come with a set of solutions that may address those gaps.
  • Communication: You love taking social scientific and other technical concepts and explaining them to non-technical audiences.
  • Detail-Orientation: You care about the details. You develop processes to double-check your work and have experience working in a role where you are responsible for giving attention to detail. For example, you make sure to build checks into your analyses to help catch mistakes.
  • Growth Mindset: You are motivated to continuously improve yourself and learn new things to share with those around you. You are willing to acknowledge your mistakes and help our team and others avoid them in the future.
  • Collaboration: You are both a self-starter/love independent work and you thrive when working collaboratively with teams and different stakeholders.
  • Time Management: You are comfortable with balancing multiple projects at once (e.g., diving deep into qualitative analysis of a culture survey, and then switching to presenting selection funnel analyses to a key stakeholder group).

 

What You Will Do:

  • Partner with key stakeholder groups (e.g., Human Resources, Laboratory Directorate) to gather Berkeley Lab applicant and employee data, as well as sentiment and perceptual data, to assess inclusion, diversity, and equity across the employee lifecycle. This includes performing both quantitative and qualitative analyses.
  • Partner with the IDEA team to prioritize, conduct, and visualize analyses.
  • Work closely with HR Systems team and IT Business Systems team, operating within our data governance structure, to clean and analyze applicant tracking system (ATS) and employee (HRIS) people data to identify gaps across protected categories (such as gender spectrum, race/ethnicity, sexual orientation, disability) and other dimensions (such as tenure, function, level); utilize an intersectional lens while conducting analyses of pass-through-rates, hiring rates, promotions, performance, attrition.
  • Architect, develop, and automate methods to provide recurring measurement of progress on key initiatives pertaining to the IDEA 2022-2025 strategic plan.
  • Partner closely with our FAIR Office (which manages Affirmative Action Plan and Equal Employment Opportunity reporting) and Human Resources to support associated compliance reporting and integrate insights with other quantitative and qualitative analyses.
  • Create compelling narratives to share findings and insights with key stakeholders, including Berkeley Lab executive leadership.
  • Analyze and synthesize quantitative and qualitative data from engagement and culture surveys, interviews, and focus groups to better understand employee experience.
  • Partner with the IDEA team to enhance/refine data-driven business priorities and strategies, as well as organizational process improvements, by leveraging insights from IDEA data analyses.
  • Collaborate with internal partners to create reports and deliver presentations to non-technical and executive-level audiences.
  • Manage capacity and timelines simultaneously across multiple projects to balance sustainability, client demands, and high quality of work product.

 

What is Required:

  • Master’s degree or equivalent practical experience and a minimum of 2 years of related experience (e.g., previous experience as a data scientist, mixed-methods researcher, people analyst, consultant).
  • Demonstrated experience in social science, including organizational behavior, sociology, social psychology, political science, economics or related fields.
  • Experience in using hypothesis-driven problem-solving skills and appropriate consultative techniques.
  • Experience using mixed methods—both quantitative (e.g., statistical) and qualitative (e.g., sentiment, grounded theory) methods of analysis, ideally with specialization in analyzing diversity, equity, & inclusion issues; comfort with using multivariate statistical platforms, survey platforms like Culture Amp, and data manipulation tools including:
    • R language: Ability to work in R language to clean and merge data, conduct a wide variety of analyses, visualize data, check assumptions of statistical tests, write and debug functions and scrape and extract data through APIs.
    • Statistics: Advanced statistical and/or econometric training.
    • Additional: Experience in SQL, advanced spreadsheet software, Python, or other scripting languages.
    • People Data: Experience handling sensitive observational data of individuals (i.e., employees, applicants) from multiple sources and with varying size, structure, and complexity.
    • Data Visualization & Communication: Ability to synthesize data, key findings, and complex analytical insights into a cohesive storyline and develop high-quality presentations appropriate for technical and non-technical audiences.
  • Attention to detail and ability to thrive in a complex organizational environment and working across functions/teams/organizational boundaries.
  • Strong collaboration and communication skills, including engagement with executive leadership.

 

Desired Qualifications:

  • PhD or equivalent experience in social sciences.
  • A minimum of 3 years of work experience, including at least 2 years of experience analyzing data sets and communicating insights/analysis to executive leaders.
  • Experience in diversity, equity, and inclusion data analysis and working in areas such as people analytics and/or management consulting
  • Extensive experience working with human resources, talent, and/or applicant data. 

 

Notes:

  • This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
  • This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • This position will be hybrid, with a predominantly telework schedule; on-site work will be partially performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

 

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

 

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

 

Equal Opportunity and IDEA Information Links:

Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.  

 

 

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Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments.

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law." and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.