Machine Learning Data Scientist - Core Insights, Apple Ads

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
57 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $210k
$116k most similar roles pay here $289k

This role pays more than 65% of similar roles. Most pay $132,500–$236,900 — the shaded band above. At the midpoint, this role pays about $210k versus about $185k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Data Scientist - Core Insights, Apple Ads

Apply Now Log in to save

Join our Core Insights team at Apple Ads as a Senior Data Scientist, where you will leverage predictive modeling, optimization, and time-series forecasting to solve complex business problems. You will work closely with data engineers to build scalable solutions using Python, SQL, AWS, Snowflake, Hadoop, Spark, and PySpark, while also deploying machine learning models in production environments. Your responsibilities include conducting quantitative analysis, communicating results effectively to both technical and non-technical stakeholders, and collaborating with cross-functional teams like Product, Sales, and Marketing to inform strategic decisions. This role requires a deep understanding of advertising domain challenges and continuous learning in both technical skills and industry trends.

Skills

Python SQL AWS Snowflake Hadoop Spark PySpark Pandas SciPy scikit-learn numpy prophet Airflow Kubernetes Docker Jenkins CI/CD

What you'll do

  • Develop predictive models using classification and regression techniques.
  • Conduct time-series forecasting to inform business strategies.
  • Deploy machine learning models with large datasets efficiently.
  • Interpret model results and communicate them to technical and non-technical stakeholders.
  • Work closely with data engineers to build scalable analytical solutions.
  • Implement end-to-end processes for training, evaluating, and deploying models.

What we're looking for

  • 5+ years of experience in data science or related analytical roles.
  • Strong proficiency in Python, SQL, and relevant libraries (Pandas, SciPy, scikit-learn).
  • Experience with big data tools like Hadoop, Spark, PySpark, and cloud technologies (AWS, Snowflake).
  • Expertise in predictive modeling, including regression, classification, time-series analysis, and demand forecasting.
  • Ability to communicate complex analyses effectively to both technical and non-technical stakeholders.
  • Demonstrated capability to deploy machine learning models with large datasets in an industry setting.

Related searches

More Machine Learning Data Scientist jobs Machine Learning Data Scientist jobs in Cupertino All jobs at Apple Inc

More like this

Similar roles

Data Scientist, Apple Services Digital Marketing

Apple Inc

Cupertino, CA 38 days ago $141,800–$213,700
Python R SQL Git GitHub GitLab Supervised_learning Unsupervised_learning Regression Classification Clustering Decision_trees Neural_networks Digital_marketing SEO Paid_media Marketing_mix_modeling Attribution_models
Save

Data Scientist, Apple Services Digital Marketing

Apple Inc

Culver City, CA 38 days ago $134,800–$203,000
Python R SQL Git GitHub GitLab Supervised_learning Unsupervised_learning Regression Classification Clustering Decision_trees Neural_networks Digital_marketing Marketing_mix_modeling Attribution_models CI/CD
Save