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Top Data Science Jobs in X, Facebook, and LinkedIn
Key Takeaways
X, Facebook, and LinkedIn offer data roles across product, marketing, and AI.
These jobs require strong skills in Python, SQL, and statistics.
Salaries start high and grow quickly with experience and impact.
The field of data science is rapidly growing, with big-tech companies like X (formerly Twitter), Facebook, and LinkedIn focusing more on data-oriented workflows. These firms are hiring data experts to enhance user experiences, expand platforms, and inform decision-making.
The demand for data scientists is expected to rise in the coming years. According to LinkedIn's 2024 Jobs Report, data science is globally recognized as one of the top 10 in-demand skills for tech company jobs.
Why These Companies?
X, Facebook, and LinkedIn are social media giants. Handling millions and even billions of user interactions every day creates huge sets of data. All three companies use data to make decisions, develop products, and increase user engagement.
These companies need data scientists to:
Understand user behavior.
Optimize content algorithms.
Predict trends.
Build machine learning models.
Jobs at X, Facebook, and LinkedIn
Let's look further at some of the top Data Science Jobs and what makes them exciting.
Data Scientist: Product Analytics (Meta)
Facebook, now Meta, uses data scientists in nearly every product team. This position concentrates on how users interact with apps like Instagram, WhatsApp, and Facebook. The Facebook data jobs require the candidate to think analytically and effectively communicate insights through data-driven storytelling.
Key responsibilities include:
Analyzing feature usage.
A/B testing new features.
Driving product improvements.
Tools: SQL, Python, Tableau.
Salary Range: ₹35 - 50 LPA in India; $130K - 180K in the U.S.
Machine Learning Engineer (X)
At X, data science and real-time content delivery work in close partnership, making data science careers possible. Machine learning engineers build models that recommend tweets, flag harmful content, and personalize timelines. The ability to actively code and deep knowledge in ML are compulsory skills.
Core responsibilities involve:
Building and testing machine learning pipelines.
Handling large-scale NLP and vision data.
Tuning recommendation engines.
Tools: Python, PyTorch, AWS, Scala.
Salary Range: ₹40 - 55 LPA in India; $150K+ globally.
Data Scientist: Economic Graph (LinkedIn)
The LinkedIn Economic Graph project tracks working trends across the globe. The role uses labor-market data to yield insights and build policies around them. Ideal for those who want to create social change with data.
A brief list of the tasks under the job of LinkedIn data science:
Model employment trends.
Create data-driven reports.
Engage with governments and schools.
Tools: R, SQL, PowerBI, Hive.
Salary Range: ₹32 - 45 LPA; $125K+ in U.S.
Also read: Top Data Science Jobs to Apply on LinkedIn
Data Analyst: Integrity and Safety (Meta)
Safety is paramount, whether it be protecting the users against spam, scams, or outright misinformation. A data analyst works to identify risky behavior and make recommendations on how to address it. Most junior positions and entry-level roles will open here.
A brief list of what that entails:
Analyze user reports and user behavior.
Monitor trends around abuse.
Work with the policy to define rules.
Skills: SQL, Excel, data visualization.
Salary Range: ₹30 – 50 LPA; $130K – $170K in the U.S.
Applied Scientist: Ads Ranking (LinkedIn)
Ads help these platforms earn revenue. LinkedIn’s Applied Scientists work on improving ad quality, targeting, and ROI for advertisers. Great for those strong in deep learning and advertising tech.
Tasks include:
Building prediction models.
Working with real-time bidding data.
Testing algorithm changes.
Tools: Python, TensorFlow, Spark.
Salary Range: ₹45 - 65 LPA; $150K - $200K+ in the U.S.
Also read: Top 10 Data Science Jobs to Apply in India
Final Thoughts
Data science is a significant trend in technology today. Everything from X to Facebook to LinkedIn is data-driven for growth and evolution. These roles offer handsome salaries and the opportunity to impact millions of users.
With the right skills and learning ability, anybody can aim for their dream job. Data science may be something worthy of consideration, from building ML models to garnering product insights in this digital economy.
