Search for Data Scientist roles focusing on product analytics in Annapolis, MD, with 4+ years of experience, and expertise in SQL and Python. I'm looking for full-time positions.

Okay, I've searched for Data Scientist roles focusing on product analytics in Annapolis, MD, requiring 4+ years of experience with expertise in SQL and Python, and full-time positions. I have found 57 opportunities for you.

Data Scientist

Annapolis, MD

4 years + Experience

SQL

Python

Full Time

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

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist in Product Analytics at Meta fundamentally revolves around leveraging vast data resources to shape product strategy and enhance user experiences across various applications like Facebook, Instagram, and WhatsApp. This position requires the candidate to engage in complex problem-solving, utilize advanced analytical techniques, and collaborate effectively across diverse teams, including Product, Engineering, and Marketing. The responsibilities demand not only technical prowess but also the ability to communicate insights compellingly and influence product decisions. Success in this role will hinge on the ability to synthesize data into actionable strategies that drive product development, optimize user engagement, and quantify business impact, all while navigating the complexities of user behavior and market dynamics. Ultimately, the individual must thrive in an environment that values data-driven storytelling and cross-functional collaboration, making their insights a cornerstone of product innovation.

Company Analysis:

Lensa operates within the burgeoning technology sector, specifically focusing on career development and recruitment solutions through machine learning. Their innovative approach positions them as a growing disruptor in a space that is increasingly reliant on AI and data. As an employer, Meta is known for its fast-paced and innovation-driven culture, which prioritizes agility and collaboration across its teams. This dynamic environment is likely to influence the Data Scientist's role significantly, as success will depend on not only technical acumen but also an ability to adapt swiftly to changing conditions and work seamlessly with various departments. Given that Meta is committed to transforming how products serve users and businesses, the Data Scientist's work will be strategically aligned with the company's broader goals of expanding user engagement and enhancing product value. The emphasis on clear communication and data-driven decision-making suggests that candidates should be prepared to influence product outcomes and articulate their findings effectively across the organization.

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 utilize data analysis to influence a product decision. What was the outcome?
Can you describe a complex data set you worked with and the statistical methodologies you employed to draw meaningful insights?
Describe a project where you faced a significant analytical challenge. How did you approach problem-solving in that scenario?
How do you prioritize competing product requests from various teams when using data to inform your analysis?
How would you approach setting metrics for a new product feature whose success criteria are not clearly defined?
What experience do you have in using SQL, Python, or R to analyze large datasets, and can you give a specific example?
Imagine you are tasked with improving user retention through a new feature. What data points would you analyze, and how would you present your findings to the product team?
You’ve just identified a product trend that could significantly shift strategy. How would you communicate this to cross-functional partners?
Why are you interested in working as a Data Scientist at Meta, and how do you see your role contributing to the company's mission?
How do your long-term career goals align with Lensa’s vision for transforming job searches?
Can you share a time when your analytical insights helped drive a crucial business decision? What were the results?
What do you think is the most important consideration when working with cross-functional teams and communicating analytical findings?
If you were to lead a data-driven project that required input from various departments, how would you ensure everyone stays aligned on goals?

Job Details

Overview Company

Data Scientist, Product Analytics

$145k/y-$204k/y

Lensa

16 days ago

Highlight

OnsiteFull-time4+ yearsMid

Summary

Meta is seeking a Data Scientist, Product Analytics to join their team in Annapolis, MD. The role involves shaping the future of products across Meta's family of applications by applying technical skills and analytical mindset to large data sets.

About the Role

As a Data Scientist at Meta, you will collaborate with cross-functional teams to solve product and business problems using data and analysis. You will influence product strategy, prioritize development, and guide teams with data-driven insights. Your responsibilities include working with large data sets, applying quantitative analysis, and partnering with Product, Engineering, and other teams to execute product strategy.

About You

Required:

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R.
4+ years of experience solving analytical problems using quantitative approaches and leading data-driven projects.

Preferred:

Master's or Ph.D. Degree in a quantitative field.

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.

Annapolis, MD