Search for Data Scientist roles in Bellevue, WA, requiring a Master's degree, with experience in Python, SQL, and machine learning techniques.

Okay, I’ve searched for Data Scientist roles in Bellevue, WA, requiring a Master's degree, with experience in Python, SQL, and machine learning techniques. I have found 52 positions for you.

Data Scientist

Bellevue, WA

Master

Python

SQL

Machine Learning

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

Sure. Here's the analysis:

Job Analysis:

The primary focus of the Data Scientist, Product role at Meta is to harness data insights to drive the design and development of innovative products that enhance user interaction across various platforms. This position requires collecting, organizing, and interpreting complex datasets to influence product decisions and launch strategies. Candidates will engage closely with Product and Engineering teams, highlighting the importance of collaboration and cross-functional dynamics in a fast-paced environment. The role demands a combination of strong technical skills in data analysis, including proficiency in SQL, Python, and statistical software, alongside the ability to communicate insights effectively to non-technical stakeholders. Success in this position is likely to involve not just technical proficiency but also a strategic mindset to identify emerging user trends and translate them into actionable product initiatives, often within an ambiguous and rapidly changing industry. The role expects candidates to demonstrate good judgment and creativity in selecting appropriate methods to solve diverse analytical challenges, thereby encapsulating both the quantitative rigor and the innovative spirit required at Meta.

Company Analysis:

Meta operates at the forefront of the internet industry, defining itself as a leader in social technology and immersive experiences. With a diverse product suite that includes Facebook, Instagram, and WhatsApp, the company is in a period of expansion into augmented and virtual reality, which reflects a commitment to innovation and a transformative vision of social interaction. This cultural backdrop suggests a work environment that is dynamic, fast-paced, and heavily driven by technology and data. Candidates looking to thrive in this setting must be adaptable and open to pushing creative boundaries in product development. Additionally, Meta emphasizes a culture rooted in inclusive values, advocating for diversity and collaboration. Understanding where the Data Scientist fits within a larger organizational structure—likely as a pivotal contributor to product teams—underscores the role's visibility and potential impact on Meta’s strategic direction. The organization's goal of developing technologies that connect communities positions this role not just as a technical position, but as a critical element in driving user engagement and enhancing the user experience.

Mock up some interview questions based on the job description.

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

Tell me about a time when you had to analyze a complex dataset. What was your approach and what insights did you gain from it?
Describe a situation where you had to collaborate with cross-functional teams (like Product and Engineering). How did you handle differing perspectives?
Can you provide an example of a project where you used A/B testing to influence product decisions? What were the outcomes?
How would you describe the process of data mining and how it applies to your work as a Data Scientist?
What are some machine learning techniques you have employed in your previous projects? Can you explain how you used one of them?
How do you ensure the accuracy and reliability of the data you work with?
Imagine you are tasked with optimizing a feature in a product based on user data. How would you approach this assignment?
You notice a trend in user behavior that is unexpected and could potentially harm engagement. How would you handle this situation?
Why are you interested in working at Meta, particularly as a Data Scientist focusing on product development?
In what ways do you think your personal values align with Meta's commitment to fostering community and inclusivity?
What special knowledge or skills do you possess that you think would benefit our team and contribute to our mission?
How do you keep yourself updated with the latest trends in data science and technology?
What questions do you have for us about our culture and how the Data Science team interfaces with other departments?
How would you describe the ideal work environment for maximizing your productivity and creativity?

Job Details

Overview Company

Data Scientist, Product

$209.9k/y-$235.4k/y

Lensa

2 days ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Meta Platforms, Inc. is seeking a Data Scientist, Product to join their team in Bellevue, WA. 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, Product, you will collect, organize, interpret, and summarize statistical data to understand user interactions with Meta's consumer and business products. You will partner with Product and Engineering teams to solve problems, identify trends, and support product decisions and launches. Projects may include product operations, exploratory analysis, product influence, and data infrastructure.

About You

Required:

Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
Three years of work experience in a computer-related occupation.
Experience in performing quantitative analysis including data mining on highly complex data sets.
Proficiency in SQL and Python.
Experience with statistical or mathematical software such as R, SAS, or Matlab.
Applied statistics or experimentation, such as A/B testing, in an industry setting.
Knowledge of machine learning techniques.
Experience with ETL processes and relational databases.
Experience with large-scale data processing infrastructures using distributed systems.
Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

Benefits

$209k–$235k/year + bonus + equity + benefits

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Bellevue, WA