Staff Data Scientist, Databricks
Unified cloud platform for big data
Job no longer available
Unified cloud platform for big data
1001+ employees
Job no longer available
1001+ employees
Company mission
To make big data simple for the enterprise.
Role
Who you are
- 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
- Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems
- Familiarity with product data science - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis
- Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations
- Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
- Proficient in data analysis and visualization using tools like R and Python
- Experience with distributed data processing systems like Spark, and proficiency in SQL
- MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
What the job involves
- As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges
- Shape the direction of some of our key data science areas - forecasting, product analytics, churn prediction and insights, segmentations and recommendations
- Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts
- Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience
- Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review
- Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven
- Build self-serving internal data products to make data simple within the company
- Represent Databricks at academic and industrial conferences & events
Our take
Open source data management tools are not easy to use, and Databricks offers each of these tools on a centralised platform in the form of SaaS. The company mitigates all previous management headaches associated with using these tools.
Databricks is one of the fastest growing cloud enterprise software companies on record. Through smart features like its notebooks and by sitting on top of open-source tools like Azure and AWS, the company is able to maximise the production capabilities and security of these platforms, turning its service into an even better tool.
Databricks next moves include plans to move public. As the company has many institutional investors, including BlackRock, when it sets out for a likely IPO it is going to have a great head start. Further, a recent product release that allows for the interaction of curated data alongside unstructured data places Databricks in a strong position against major competitors like BigQuery and Snowflake.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
81% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Aug 2021
$1.6bn
SERIES H
Feb 2021
$1bn
SERIES G
Total funding: $3.5bn
Company benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
Company HQ
The East Cut, San Francisco, CA
Leadership
Dr Ali Ghodsi
(CEO)Gained a PhD in Computer Science before spending 10 years at UC Berkeley as an Adjunct Professor, a role Ghodsi still holds.
Ion Stoica
(Co-founder & Chairman)Previously a researcher at Berkley in Cloud Computing, Distributed Systems and Big Data.
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