Search for Data Scientist roles focused on product analytics in Jefferson City, MO. I have 4+ years of experience in analytics and I'm proficient in SQL and Python. I am looking for full-time opportunities with a salary range of $145,000 to $204,000.

Okay, I've searched for Data Scientist roles focused on product analytics in Jefferson City, MO, requiring 4+ years of experience in analytics and proficiency in SQL and Python. Additionally, I've included full-time opportunities with a salary range of $145,000 to$ 204,000. I have found 57 positions for you to consider.

Data Scientist

Jefferson City, MO

4 years + Experience

SQL

Python

Full Time

$145000

$204000-

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 about leveraging data to inform product development for some of the world's most widely used applications. The individual in this position is expected to navigate complex data landscapes, employing technical skills and analytical reasoning to unearth insights that will directly influence product strategy and execution. Key responsibilities include using data science methods to define and measure success metrics, guide teams in understanding product impacts, and communicate these findings effectively to diverse stakeholders. Success in this role will hinge on the ability to turn data into actionable strategies that resonate with both user needs and business objectives, which requires not only expertise in analytics and quantitative techniques but also narrative skills to present insights in compelling ways that drive decisions across teams. Candidates should anticipate regular interaction with cross-functional partners, necessitating strong interpersonal skills alongside technical acumen.

Company Analysis:

Meta operates in the fast-paced and dynamic Internet industry, standing as a leader in developing personal and business communication tools through platforms like Facebook, Instagram, and WhatsApp. This market position means that the Data Scientist will work at the forefront of technology and product innovation, continuously adapting to changing user behaviors and business needs. The culture at Meta is likely innovation-driven, emphasizing collaboration, agility, and thoughtful challenge; with dozens of teams working in tandem, the role is critical for integrating diverse perspectives into cohesive product strategies. In terms of organizational context, the Data Scientist will likely interact frequently with leadership and across various departments, heightening the visibility and impact of this role within the company. The position's strategic alignment comes from supporting Meta’s mission to enhance user engagement and business outcomes through data-driven insights, positioning it at the heart of the company's continued growth and transformation efforts.

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 communicate complex data insights to a non-technical audience. How did you ensure your recommendations were understood?
Describe a situation where you identified a critical trend in user behavior that led to a significant change in product strategy. What was your approach?
Can you share an experience where you faced a conflict while working in a cross-functional team? How did you handle it?
How do you prioritize which metrics to track when analyzing the success of a product? Can you provide a specific example?
How would you approach designing an experiment to evaluate a new feature for one of Meta's applications? What factors would you consider?
What statistical methods do you find most useful for analyzing user data, and why?
How would you utilize SQL in combination with Python to analyze a large data set? Can you walk us through your process?
Imagine you are tasked with improving user engagement on a Meta platform. What data points would you analyze to inform your strategy?
You notice a decline in a product's key performance indicators. What steps would you take to diagnose the issue and propose solutions?
Why are you interested in working at Meta, and how do you think your skills align with our mission?
How do you stay updated with the latest trends and tools in data science, and how would that benefit your work here at Meta?
What questions do you have about the product development process here at Meta and how the analytics team integrates with it?
What are some ways you believe data science can continue to evolve in the tech industry, particularly within social media platforms?

Job Details

Overview Company

Data Scientist, Product Analytics

$145k/y-$204k/y

Lensa

2 days ago

Highlight

OnsiteFull-time4+ yearsMid

Summary

META is seeking a Data Scientist, Product Analytics to join their team in Jefferson City, MO. 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

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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.

Jefferson City, MO