1

Seasonal Applied Data Analytics Jobs (NOW HIRING)

Role Overview The Applied Data Scientist - Research is a collaborative analytical partner to the Head of Data Science, contributing to the design and validation of GTM insights that power the ...

New

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Applied Data Scientist

OR · On-site +1

$150K - $200K/yr

As an Applied Data Scientist on our Insights team, you will help pioneer the next generation of ... Prior work on analytics / insights products (e.g., deep research systems, anomaly detection ...

Two (2)+ years of applied data science research or big data analytics experience. * Bachelor's degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or a ...

Two (2)+ years of applied data science research or big data analytics experience. * Bachelor's degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or a ...

next page

Showing results 1-20

Seasonal Applied Data Analytics information

What are the most commonly searched types of Applied Data Analytics jobs? The most popular types of Applied Data Analytics jobs are:
Legal Data Analyst, Applied Data Science

Legal Data Analyst, Applied Data Science

Apple

Cupertino, CA • On-site

Full-time

Posted 11 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish...Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter?.Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques?.Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?..The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.
The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.
4+ years of experience in data analysis, business intelligence, and analytics rolesStrong proficiency in SQL, Python, and experience with analytical and data profiling toolsExperience using AI and LLM-based tools to accelerate analytical workExperience with statistical analysis, trend analysis, and forecasting techniquesExperience working with enterprise data systems (ERP, CRM, matter management, or similar)Strong analytical and problem-solving skills with attention to detailAbility to communicate analytical findings and data quality insights to technical and non-technical stakeholdersExperience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)Deriving and defining KPIs and other business impact metrics for leadership
Experience with legal operations data (matter management, eBilling, CLM, document management)Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production useUnderstanding of prompt engineering techniques to get better results from AI toolsUnderstanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metricsExperience with predictive analytics and forecasting modelsFamiliarity with data governance frameworks and data stewardship modelsExperience with data quality tools (Great Expectations, Monte Carlo, or similar)Knowledge of entity resolution concepts and master data managementUnderstanding of how data quality impacts AI/ML model performanceExperience in corporate legal department or professional services environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976