Search for Data Scientist roles in Trenton, NJ, with experience in SQL and Python, focusing on internet industry analytics, full-time positions and a salary expectation of $190,000+.

Okay, I've searched for Data Scientist roles in Trenton, NJ, requiring experience in SQL and Python, specifically in the internet industry, for full-time positions, with a salary expectation of at least $190,000. I have found 27 positions for you.

Data Scientist

Trenton, NJ

SQL

Python

Internet

$190000+

Full Time

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

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Data Scientist, Analytics role is to leverage large and complex data sets to inform strategic decisions that enhance Meta's products, thus positively impacting billions of users and numerous businesses. This position requires the candidate to undertake quantitative analyses and apply varied statistical methods to derive insights and recommendations that drive product roadmaps. Responsibilities include crafting and monitoring key product metrics, experimenting with different approaches (such as A/B testing), and collaborating closely with cross-functional teams like Product and Engineering to ensure that data-driven insights effectively inform strategic investment decisions. Success in this role is defined by the ability to translate analytical findings into actionable product strategies and measurable improvements, necessitating an adeptness in both technical and interpersonal skills to communicate complex ideas clearly across teams.

Company Analysis:

Meta Platforms, Inc., previously known as Facebook, is at the forefront of technology innovation, evolving from a traditional social media platform to an expansive ecosystem that includes technologies like augmented and virtual reality. As a member of this organization, you would be part of a pioneering company that prioritizes immersive experiences and aims to enhance human connections on a global scale. The company appears to foster a culture of collaboration and innovation, ideal for a analytics role that relies heavily on cross-functional partnerships and iterative experimentation. Given the swift pace of change within Meta and its emphasis on groundbreaking technologies, this role will likely demand adaptability, creativity, and a proactive approach to problem-solving. This Data Scientist position is integral to Meta's strategy in optimizing product performance and user engagement, aligning with the company's broader goals of advancing its technological capabilities. Those in this role can expect significant visibility and impact, as their insights will inform foundational decisions in product development.

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 solve a complex data problem. What approach did you use, and what were the results?
Describe a situation where your analytical findings challenged established assumptions within your team. How did you handle it?
Can you give an example of a project where you had to communicate technical information to a non-technical audience? How did you ensure they understood?
How would you approach testing a new product feature using A/B testing?
What data querying languages are you most comfortable with, and how have you applied them in past roles?
Discuss your experience with machine learning techniques. Can you provide an example of how you implemented them in a project?
How do you ensure the accuracy and reliability of the data you analyze?
Imagine you are given a dataset with several conflicting trends. How would you determine which trends to prioritize, and what steps would you take to investigate further?
Why are you interested in working specifically at Meta, and how do you see your values aligning with the company's mission?
What excites you about the possibility of working in an evolving tech industry, particularly in a role focused on analytics?
How do you stay up-to-date with the latest developments in data science and analytics?
What questions do you have about the team structure and how this role interacts with other departments at Meta?
Can you describe a project where you utilized ETL processes? What challenges did you face, and how did you overcome them?
What are your thoughts on the role of AI in transforming job searches, particularly in relation to the services Lensa provides?
How would you prioritize your tasks when working on multiple analytic projects with tight deadlines?

Job Details

Overview Company

Data Scientist, Analytics

$189.9k/y-$196.9k/y

Lensa

3 days ago

Highlight

RemoteFull-time2+ yearsEntry

Summary

Meta Platforms, Inc. is seeking a Data Scientist, Analytics to join their team in Trenton, NJ. The role involves working with large and complex data sets to solve challenging problems and develop strategies for products serving billions of people.

About the Role

As a Data Scientist, Analytics, you will work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. You will apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products that serve billions of people and hundreds of millions of businesses. You will identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. You will define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. You will partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Telecommuting is permitted from anywhere in the United States.

About You

Required:

Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field.
24 months of experience in performing quantitative analysis, including data mining on highly complex data sets.
Experience with data querying languages, including SQL.
Experience with scripting languages, including Python.
Experience with statistical or mathematical software, including R, SAS, or Matlab.
Experience with applied statistics or experimentation, such as A/B testing, in an industry setting.
Experience with machine learning techniques.
Experience with ETL (Extract, Transform, Load) processes.
Experience with relational databases.
Experience with large-scale data processing infrastructures using distributed systems.
Experience with quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

Benefits

$189k–$196.9k/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.

Trenton, NJ