STAFF DATA SCIENTIST - CLOUD EFFICIENCY MOUNTAIN VIEW, CALIFORNIA
Company: Databricks Inc.
Location: Mountain View
Posted on: October 22, 2024
Job Description:
At Databricks, we are inspired by helping data teams solve the
world's toughest problems. We do this by building and running the
world's best data and AI infrastructure platform, so our customers
can focus on the high value challenges that are central to their
own missions.
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We develop and operate one of the largest scale software platforms.
The fleet consists of millions of virtual machines, generating
terabytes of logs and processing exabytes of data per day. At our
scale, we observe cloud hardware, network, and operating system
faults, and our software must gracefully shield our customers from
any of the above.As a Data Scientist on the Data Team, you will
help build a data-driven culture within Databricks by helping work
on top priorities. The Data team also functions as an in-house,
production customer that feeds Databricks and guides the future
direction of the products.You will report directly to the Director
of Data Science.The impact you will have:
- You will develop and implement models for cloud cost
forecasting and optimization. Analyze current cloud expenditures
and identify opportunities to scale cost for a growing
business.
- You will provide insights for future cloud usage planning and
budgeting for an evolving infrastructure footprint.
- You will collaborate with Eng and Tech Ops to ensure
understanding between cloud usage and goals. You will be jointly
responsible for reduction in cloud costs, accuracy of forecasts,
and overall impact on the business's bottom line.
- You will gather changing requirements, define project OKRs and
milestones, and communicate progress to both technical and
non-technical audiences.
- You will guide junior data scientists on the team by helping
with project planning, technical decisions, and code and document
review.
- You will represent the data science discipline throughout the
organization, having a powerful voice to make us more
data-driven.
- You will represent Databricks at academic and industrial
conferences and events.What we look for:
- Understanding of cloud architecture and its possible effects on
cost, performance, and scalability. Knowledge of best practices for
designing scalable and cost-effective solutions in the cloud.
Experience with the cost reporting and management tools of cloud
service providers.
- Familiarity with specific cost optimization strategies such as
reserved instances, spot instances, scalable computing resources,
and efficient data storage options.
- Experience working in different teams and leading projects with
a significant impact on infrastructure and operational costs.
- Experience explaining technical details and cost implications
to non-technical partners.
- 7+ years of data science, machine learning, advanced analytics
experience in high velocity, high-growth companies.
- Experience deploying Data Science / ML solutions in production
for achieving results.
- Coding skills in Python and SQL.
- Experience with distributed data processing systems like Spark
and familiarity with software engineering principles around
testing, code reviews and deployment.
- Masters or higher in quantitative fields.Benefits:
- Comprehensive health coverage including medical, dental, and
vision.
- 401(k) Plan.
- Equity awards.
- Flexible time off.
- Paid parental leave.
- Family Planning.
- Gym reimbursement.
- Employee Assistance Program (EAP).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.Local Pay Range: $192,000 -
$260,000 USD.About Databricks:Databricks is the data and AI
company. More than 10,000 organizations worldwide - including
Comcast, Cond-- 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.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.
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Keywords: Databricks Inc., Cupertino , STAFF DATA SCIENTIST - CLOUD EFFICIENCY MOUNTAIN VIEW, CALIFORNIA, Other , Mountain View, California
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