Search for Data Scientist roles in New York, specializing in Product Analytics, with a minimum of 2 years of experience, requiring skills in Python and SQL, and a preference for full-time positions.

Okay, I've searched for Data Scientist roles in New York specializing in Product Analytics. I filtered for positions requiring at least 2 years of experience, skills in Python and SQL, and full-time availability. I found 87 positions that fit your criteria.

Data Scientist

New York, NY

2 years + Experience

Python

SQL

Full Time

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

Sure. Here's the analysis:

Job Analysis:

The Data Scientist, Product Analytics role at Meta is fundamentally aimed at harnessing vast datasets to enhance product development and strategy across various applications like Facebook, Instagram, and WhatsApp. The candidate will be entrusted with not just analyzing data but transforming these insights into actionable recommendations that shape product features and user experiences for billions. This position requires an analytical mindset, creative problem-solving skills, and the ability to influence product strategy. Given Meta's complex ecosystem, where cross-functional collaboration is vital, success will be evaluated based on the candidate's ability to integrate into diverse teams and convey data-driven stories that resonate across departments. Challenges may include navigating ambiguity in product development, setting KPIs, and delivering clear insights amidst multifaceted business considerations. Performance is expected to reflect in measurable impacts on products, such as improved user engagement or feature adoption rates within the first year.

Company Analysis:

Meta, operating in the competitive tech sector, is a leader with a vision to shape connectivity through its suite of applications. The company prioritizes innovation and agility, fostering a culture that values data-driven decision-making and collaborative efforts, pivotal traits for someone in the Data Scientist role. Being part of a world-class analytics community means the candidate will engage with ongoing skill development and mentorship opportunities, potentially enhancing their career trajectory. This role is integral to the product ecosystem, serving both user-centric and business-focused goals, and has significant visibility within the organization, collaborating with various teams to make impactful recommendations. Essentially, the Data Scientist will not only contribute to product improvement but also play a role in broader strategic goals, positioning them at the heart of Meta's mission to innovate and lead in the digital landscape.

Mock up some interview questions based on the job description.

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

Can you describe a time when you had to analyze a large dataset to inform a business decision? What was your approach and the outcome?
Tell me about a challenging analytical problem you solved during an internship. What tools or methods did you use?
Give an example of how you've successfully collaborated with cross-functional teams. What was your role in that collaboration?
How do you prioritize tasks when working on multiple projects with overlapping deadlines?
Explain your experience with SQL and Python. Can you describe a project where you utilized these tools effectively?
How do you approach hypothesis testing in your data analysis? Can you walk through a specific example?
Imagine you are tasked with determining which new features to prioritize for an upcoming product update. How would you approach this analysis?
If presented with conflicting interests from various stakeholders regarding data insights, how would you resolve this situation?
What excites you about the opportunity to work at Meta, and how do you see your work contributing to our mission?
How do you tailor your data-driven stories to different audiences within a large organization?
What methods do you use to ensure data accuracy and reliability in your analyses?
What strategies would you apply if you discover a significant product metric declining unexpectedly?
What questions do you have about the role or the team dynamics at Meta?
Could you explain how you see the future of job search evolving, particularly in light of Lensa's mission?
How do you plan to keep your skills current and relevant in such a rapidly changing industry?

Job Details

Overview Company

Data Scientist, Product Analytics

$46.63/h-$134k/y

Lensa

11 days ago

Highlight

OnsiteFull-timeEntry

Summary

META is seeking a Data Scientist, Product Analytics to join their team in New York, NY. 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 analysis. You will influence product strategy, prioritize development, and guide teams with data-driven insights. Your responsibilities include working with large data sets, developing strategies, and measuring product success through key metrics.

About You

Required:

Bachelor's and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
Work authorization in the country of employment at the time of hire and ongoing authorization during employment.

Preferred:

Experience in collaborating with individuals and organizations.
Experience working with large scale datasets.
Internship experience in solving analytical problems using quantitative approaches.

Benefits

$46.63/hour to $134k/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.

New York, NY