Search for Data Scientist roles in Burlingame, CA with a focus on the Internet industry, requiring a Bachelor's degree in Computer Science, and expertise in Python and SQL.

Okay, I've searched for Data Scientist roles in Burlingame, CA within the Internet industry, requiring a Bachelor's degree in Computer Science, and expertise in Python and SQL. I have found 54 positions for you.

Data Scientist

Burlingame, CA

Internet

Bachelor

Python

SQL

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Meta is fundamentally about leveraging data to inform product development and drive business decisions. This position demands the collection and analysis of complex data sets to reveal user interactions and trends that can significantly influence product strategy. Candidates will be responsible for collaborating with product and engineering teams, suggesting that excellent communication and team collaboration skills are critical. Responsibilities encompass a variety of tasks, including exploratory data analysis and improving data infrastructure, reflective of a role that thrives on adaptability within diverse projects. Success in this role hinges not just on technical skills but also on the ability to synthesize findings into actionable insights that drive business strategy, suggesting the need for a strategic mindset and an understanding of product lifecycle dynamics. Candidates will likely encounter challenges related to data complexity and the necessity to navigate ambiguity, making strong problem-solving skills essential. Performance in the first 6-12 months will likely be measured through contributions to product launches and the impact of data-driven insights on user engagement and business outcomes.

Company Analysis:

Meta, operating at the forefront of social technology, holds a significant position in the internet industry, recognized for its innovative approach to connecting people and businesses through various digital platforms. The company is transitioning from traditional social networking tools to immersive experiences, making it a dynamic player in the technology space. This position within such an innovative company suggests a fast-paced environment where agility and creativity are crucial for success. Company culture appears to prioritize collaboration, inclusion, and the ongoing development of groundbreaking technologies. For a Data Scientist, this implies a setting where experimentation and innovative data-driven solutions are encouraged. The Data Scientist role sits within a broader team context, requiring close partnership with product and engineering teams to drive strategic decisions—a collaborative model that may lend itself to high visibility and potential growth. Strategically, this hire signals Meta's commitment to enhancing its product offerings through rigorous data analysis, aligning with broader goals of expanding user engagement and refining product features.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a time when you used data analysis to make a significant impact on a project or decision? What were the outcomes?
Tell me about a challenging data set you worked with. How did you approach analyzing it?
Describe an instance where your data-driven insights influenced a product direction or strategy. What was your role?
What is your experience with machine learning techniques? Can you give an example of how you applied them in a project?
How would you approach the task of improving a data infrastructure that is currently limiting your analysis capabilities?
Explain your proficiency in SQL and how you have used it in previous roles to derive insights from complex data sets.
Imagine you are assigned to analyze user engagement data for a new product feature. What steps would you take to ensure a thorough analysis?
If you discovered a troubling trend in user behavior data, how would you present that information to the product team?
Why are you interested in working for Meta specifically, and how do you envision contributing to its mission?
How do the values at Meta resonate with your professional philosophy, particularly regarding innovation and inclusivity?
Can you share how you stay current with trends in data science and their application in technology?
What questions do you have about the team dynamics within this role, and how do they relate to product development?
Can you elaborate on your experience working in cross-functional teams? How do you handle differing priorities?
What methods do you use to ensure the reliability and validity of your data analyses when making recommendations?

Job Details

Overview Company

Data Scientist

$182.6k/y-$196.9k/y

Lensa

17 hours ago

Highlight

OnsiteFull-timeEntry

Summary

Meta Platforms, Inc. is seeking a Data Scientist to join their team in Burlingame, CA. The role involves contributing to the design and development of Meta products through quantitative analysis and data mining.

About the Role

As a Data Scientist, you will collect, organize, interpret, and summarize statistical data to inform product decisions and launches. You will partner with Product and Engineering teams to solve problems, identify trends, and work on projects in areas such as product operations, exploratory analysis, and data infrastructure. The role requires exercising judgment within defined procedures to determine appropriate actions.

About You

Required:

Bachelor’s degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field.
Experience in performing quantitative analysis including data mining on highly complex data sets.
Proficiency in data querying languages including SQL.
Proficiency in scripting languages including Python.
Experience with statistical or mathematical software such as R, SAS, or Matlab.
Knowledge of machine learning techniques.
Experience with ETL (Extract, Transform, Load) processes.
Familiarity with relational databases.
Understanding of quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

Benefits

$182k–$196.9k/year + bonus + equity + benefits

Lensa

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Burlingame, CA