Search for Data Scientist roles in Bellevue, WA, with 6+ years of experience, specifically in the Internet industry, requiring strong skills in Python and SQL.

Okay, I've searched for Data Scientist roles in Bellevue, WA, for candidates with 6+ years of experience, specifically in the Internet industry, and requiring strong skills in Python and SQL. I have found 57 positions that match your criteria.

Data Scientist

Bellevue, WA

6 years + Experience

Internet

Python

SQL

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

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist within the Infrastructure Data Centers team at Meta is fundamentally centered on transforming vast data into actionable insights that drive operational efficiencies and strategic decisions. This person is expected to employ sophisticated data science methodologies to unravel complex business challenges while collaborating with multiple stakeholders. Core responsibilities include identifying operational gaps and developing analytical models that influence decision-making at the leadership level—a task that requires both technical expertise and an architect-like vision for data application. The ideal candidate will not only need technical proficiencies in languages like SQL, Python, and R but also must possess the soft skills necessary to mentor others and foster cross-functional collaboration. Success in this role extends beyond technical acumen; it requires an ability to navigate ambiguity and create impactful change from the ground up, aligning data-driven strategies with the company’s ambitions in the fast-paced tech environment. Within 6-12 months, a successful Data Scientist should expect to deploy scalable analytics solutions that enhance operational performance and are well-received by their stakeholders.

Company Analysis:

Lensa operates at the forefront of the job search industry, leveraging machine learning to facilitate both candidate placements and organizational hiring needs. The company positions itself as not just a career platform but a transformative solution that enhances the efficacy and human-centered aspects of job seeking and talent acquisition. As part of a technology-focused organization that values innovation and efficiency, the work environment is likely fast-paced, collaborative, and requires a high degree of adaptability. The role of Data Scientist fits into this ecosystem as a key player who influences the operational capabilities of Meta’s Infrastructure Data Centers. This suggests that the candidate must align with Lensa’s mission of using data to empower individuals and organizations alike. Being a part of a culture that values transparency and empathy will be crucial, particularly as the individual will mentor others and facilitate cross-team communications. This role represents a strategic hire aimed at bolstering data science capabilities within the context of rapid organizational growth, aiming to enhance efficiency and drive results in a sector that demands continuous innovation and adaptation.

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 used data analysis to solve a complex problem. What was your approach and what did you learn?
Describe a project where you had to collaborate with cross-functional teams. What challenges did you face, and how did you overcome them?
Can you give an example of how you mentored a junior team member in data science best practices? What impact did it have?
How would you handle a situation where your data-driven recommendations conflicted with the opinions of senior stakeholders?
How do you ensure the integrity of the data you use for your analyses? Can you share a method you've implemented?
What statistical models do you typically use to analyze operational data, and why do you prefer them?
How would you approach developing an analytical solution to improve decision-making for a data center operation? What steps would you take?
Imagine you're tasked with improving the predictive accuracy of an existing model. What process would you follow?
Suppose you identify a significant operational gap in a dataset's analysis. How would you present this discovery to your team and recommend a course of action?
Why are you interested in working for Lensa specifically, and how does it align with your career goals?
How do you see your values aligning with Lensa's mission to transform the job search process and enhance talent acquisition?
What do you think will be the biggest challenge for you in this role, and how do you plan to address it?
Are there any tools or methodologies that you believe could enhance Lensa's data operations that aren't currently in use?

Job Details

Overview Company

Lead Data Scientist

$145k/y-$204k/y

Lensa

16 days ago

Highlight

OnsiteFull-time6+ yearsSenior

Summary

Meta is seeking a highly skilled and motivated Data Scientist to join their Infrastructure Data Centers team in Bellevue, WA. The role involves partnering with stakeholders to translate data into value and developing analytics programs to drive operational efficiency.

About the Role

As a lead data scientist, you will collaborate with cross-functional teams to define problems, analyze impacts, and develop data-driven solutions. You will design and implement statistical models, utilize expertise in machine learning and automation, and work closely with stakeholders to enhance operational efficiency. Additionally, you will mentor team members and recommend process improvements based on data insights.

About You

Required:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
6+ years of experience with advanced SQL in big data environments and data modeling.
6+ years of experience managing and analyzing large-scale data using Python, R, or similar languages.
6+ years of experience working with visualization tools such as Tableau, PowerBI, or similar.
Proven track record of managing and leading cross-functional projects and teams.
Solid understanding of machine learning techniques and algorithms.
Proficient in statistical analysis and experimental design.

Preferred:

Technical knowledge of data center operations.
Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
Knowledge of simulation and optimization techniques.
Great communication and storytelling skills to influence all organizational levels.

Benefits

$145k–$204k/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