Search for Data Scientist roles in Sacramento, CA, requiring a Bachelor's degree in Statistics or related field, with skills in Python and SQL, and a salary of at least $220,000 per year.

Okay, I've searched for Data Scientist roles in Sacramento, CA, requiring a Bachelor’s degree in Statistics or related fields, with skills in Python and SQL, and offering a salary of at least $220,000 per year. I have found 52 positions for you. You can review them now.

Data Scientist

Sacramento, CA

Bachelor

Python

SQL

$220000+

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 centered around leveraging statistical data to drive informed decision-making and business growth. This individual is expected to collect, interpret, and summarize vast amounts of data to generate insights that will influence strategic initiatives. Key responsibilities include cross-functional collaboration, which involves aligning with partner teams to establish project priorities—indicative of an environment where teamwork and communication are paramount. Success in this role requires not only technical prowess in quantitative analysis and machine learning but also the ability to navigate ambiguity and integrate various data sources into coherent narratives that guide business direction. Candidates will face challenges related to optimizing processes and ensuring project execution while mitigating redundancies across workflows. Overall, performance will likely be measured by the effectiveness of data-driven decisions and their impact on the overall infrastructure.

Company Analysis:

Meta, occupying a leading position in the internet technology sector, is known for its innovative approaches to connecting people and enhancing user experience through augmented and virtual reality. The company emphasizes a culture of collaboration, creativity, and continuous improvement, creating an environment where a Data Scientist must thrive by being adaptive and forward-thinking. Considering Meta's rapid evolution into immersive technologies, the role demands not just technical acumen but also an enthusiasm for pioneering new solutions within a cutting-edge landscape. With a large team of developers and data scientists, the Data Scientist will likely have ample opportunities for visibility and influence, directly contributing to the company’s strategic goals, especially as they relate to data optimization and infrastructure development. This role plays a crucial part in scaling operations and enhancing Meta's capabilities in data-driven decision-making, thereby aligning closely with the company's mission of fostering connections through technology.

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 data set. What was your approach, and what were the findings?
Describe an instance where you collaborated with cross-functional teams. How did you ensure alignment and achieve project goals?
Can you discuss a challenging quantitative analysis project you worked on? What obstacles did you overcome?
How do you ensure your data visualizations effectively communicate findings to non-technical stakeholders?
How would you approach improving a data model that is underperforming? What steps would you take to diagnose the issues?
Explain your experience with A/B testing. What are the key factors to consider when designing an A/B test?
How would you handle a situation where you have conflicting data from different sources?
Imagine you are given a project where you need to build a predictive model for user behavior. What steps would you take?
Why are you interested in working for Meta, and how do you see your role as a Data Scientist contributing to our mission?
How does your background in data analysis uniquely position you to contribute to Meta's evolving technology landscape?
What excites you about the intersection of data science and augmented reality technologies?
Could you elaborate on a time when your insights from data analysis led to a significant business decision?
What kind of opportunities do you see for enhancing data-driven decision making at Meta?
What questions do you have about Meta's data initiatives and how this role integrates with those goals?
How do you stay current with developments in data science and machine learning, and how do you apply them to your work?

Job Details

Overview Company

Data Scientist

$221k/y-$235.4k/y

Lensa

11 days ago

Highlight

RemoteFull-timeEntry

Summary

Meta Platforms, Inc. is seeking a Data Scientist to join their team in Sacramento, CA. The role involves contributing to the growth of company infrastructure through data analysis and developing scalable solutions.

About the Role

As a Data Scientist, you will collect, organize, interpret, and summarize statistical data to support company growth. You will apply quantitative analysis and data mining techniques to optimize various domains, focusing on long-term strategic initiatives. The role requires cross-functional collaboration to define priorities and develop business intelligence project roadmaps. You will drive execution through fast iteration, ensure project coordination, and build pragmatic, scalable solutions using statistical and machine learning methodologies. Telecommuting is permitted from anywhere in the U.S.

About You

Required:

Bachelor’s degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field.
Completion of an undergraduate-level course, research project, or internship involving Quantitative Analysis, A/B Testing and Research Design, Statistical Modeling, Data Mining, Data Visualization and Storytelling, SQL, and Python.

Benefits

$221k–$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.

Sacramento, CA