Mission
The Machine Learning (ML) Practice team is a highly specialized customer-facing data science team at Databricks. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as teach courses on distributed ML & deep learning (DL). We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble - we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for machine learning.
The impact you will have:
What we look for:
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)
Business travel accident insurance
About Databricks
Databricks is the data and AI company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.
GET THE BOOKDatabricks looks for a Data Scientist in Remote location.
The proposed salary for Data Scientist Jobs position at Databricks is Not disclosed.
According to the common industry standard, Data Scientist Jobs specialist is in charge for the following activities.
To be disscussed with candidate
... of education is valued by employers, how interviews go, and how much data engineers and data scientists earn.
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