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Data Scientist - New Grad (2024 Start)

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Databricks

Sep 27, 2023

Applications are closed

  • Job
    Full-time
    Entry Level
  • Data
  • San Francisco

Requirements

  • What We Look For:
  • You will graduate in December 2023 or Spring 2024 with a Master's or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
  • Proven ability to work with data in SQL and Python
  • Experience with multiple statistical data analysis and machine learning methods such as generalized linear regression, regression and classification trees, unsupervised learning methods, causal inference, stochastic processes, time series forecasting
  • You are excited to solve ambiguous problems with a collaborative team

Responsibilities

  • The Impact You Will Have:
  • Work with the Data team and cross-functional stakeholders (Product, Customer Success, Engineering, Sales, Marketing and Finance) to use data to solve problems
  • Apply your expertise in data science methodologies to real data to deliver insights and/or deploy algorithms to the Databricks platform
  • Manage your own project end-to-end from requirements gathering, data exploration to presenting insights to stakeholders and/or deployment an algorithm in a production environment
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Databricks

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 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. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).