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RDQ425R35
Mission
At Databricks, our mission as user researchers is to make working with data simpler and more accessible so that more people can contribute to solving the world’s toughest problems. Researchers at Databricks care deeply about how to contribute important insights to product teams which enables them to more intelligently design the right solutions for our customers. At Databricks, we believe deeply in putting the customer at the center of everything we do and we empower Bricksters to leverage user research tools and methodologies to bring a more informed perspective to their work.
We are looking for a research leader who can go beyond traditional user experience research, and can develop business-level strategy and vision in close collaboration with other disciplines, including Product, Marketing, and Go-To-Market teams.
The impact you will have
- Help build the infrastructure and operations needed to facilitate a successful user research program at Databricks
- Break down strategic, ambiguous questions into a clear research roadmap; designing and leading projects from start to finish, ultimately delivering meaningful impact to Databricks’ product design and business strategy
- Partner with other researchers and data scientists to triangulate insights and develop a holistic view of our customers, along with identifying new opportunities for Databricks to democratize data to everyone in an organization.
- Conduct multi-method research to inform and influence our business strategy, partnering closely across disciplines to identify opportunities and define success for Databricks make our products simpler for our customers
- Deliver frequent and exceptionally high-quality research deliverables with proven impact on our product and business strategy
- Champion user research holistically across Databricks and build internal partnerships that allow research to be integrated successfully within the organization
- Contribute to a COE (Center of Excellence) model that allows for scalable adoption of product research practices - driven by your program and materials. You will create and publish a set of resources for Bricksters that provides tools, guidelines and best practices which will help to democratize user research methodologies across Databricks so that any Brickster working on our products will have guidance for how to engage in research with our customers
What we look for
- Mixed methods researcher who can successfully design and implement user research programs and processes, but with an outsize emphasis on quantitative user research methodologies and projects
- Expert knowledge of the key data team personas including machine learning engineers, data scientists and administrators
- Expert understanding of software development practices and an ability to communicate with engineers and other stakeholders on deeply technical matters and nuances of the developer experience
- Expert working knowledge of the product design process and how and when user research can add maximum value
- Effective communication and presentation skills with a consistent track record of delivering concise, compelling deliverables to influence executive-level business decisions and strategies.
- Able to lead a team in customer-centered research methodologies and workshops
- Experience coding with R, SQL, STATA, SPSS or equivalent
- Experience with survey design and response effects, and applying statistical analysis methods such as Regressions, ANOVA, and T-Tests
- Advanced degree in human-computer interaction, psychology, cognitive science or related field
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range
$105,000—$185,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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