... Machine Learning, or Data Scientist role * Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...
... Machine Learning, or Data Scientist role * Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...
... Machine Learning, or Data Scientist role * Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...
... Machine Learning, or Data Scientist role * Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...
Data Scientist
Sunnyvale, CA · On-site
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are ...
Data Scientist
Sunnyvale, CA · On-site
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are ...
Data Scientist
Sunnyvale, CA · On-site
$130K - $160K/yr
Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Use data mining and machine learning techniques to develop robust models in areas such as ...
Quick apply
Data Scientist
Sunnyvale, CA · On-site
$130K - $160K/yr
Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Use data mining and machine learning techniques to develop robust models in areas such as ...
Data Scientist
Los Angeles, CA · On-site
... and implement machine learning algorithms and models • Analyze and interpret complex data to ... D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ...
Data Scientist
Los Angeles, CA · On-site
... and implement machine learning algorithms and models • Analyze and interpret complex data to ... D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ...
Machine Learning Scientist, Pretraining
Emeryville, CA · On-site +1
$200K - $330K/yr
The Role We're looking for a motivated and creative Machine Learning (ML) Scientist to drive ... Previous experience in data extraction and curation from bioinformatics data sources * Familiarity ...
Machine Learning Scientist, Pretraining
Emeryville, CA · On-site +1
$200K - $330K/yr
The Role We're looking for a motivated and creative Machine Learning (ML) Scientist to drive ... Previous experience in data extraction and curation from bioinformatics data sources * Familiarity ...
Clinical Data Scientist
San Francisco, CA · On-site
$140K - $160K/yr
About Our Team We come from a variety of backgrounds ranging from machine learning to marketing-but ... Benefits & Perks The following benefits and perks are for full time roles only. * Meaningful equity ...
Clinical Data Scientist
San Francisco, CA · On-site
$140K - $160K/yr
About Our Team We come from a variety of backgrounds ranging from machine learning to marketing-but ... Benefits & Perks The following benefits and perks are for full time roles only. * Meaningful equity ...
The Localization Data Science and Engineering team is at the forefront of removing language ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...
New
The Localization Data Science and Engineering team is at the forefront of removing language ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...
New
Data Scientist
Campbell, CA · On-site
We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ...
Data Scientist
Campbell, CA · On-site
We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ...
Data Scientist
Los Angeles, CA · On-site
... and implement machine learning algorithms and models • Analyze and interpret complex data to ... D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ...
Data Scientist
Los Angeles, CA · On-site
... and implement machine learning algorithms and models • Analyze and interpret complex data to ... D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ...
Data Scientist / Senior Data Scientist
San Ramon, CA · On-site
$100K - $160K/yr
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk. * Work with domain experts across teams ...
Quick apply
Data Scientist / Senior Data Scientist
San Ramon, CA · On-site
$100K - $160K/yr
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk. * Work with domain experts across teams ...
Applied Machine Learning Scientist
San Francisco, CA · On-site
$140K - $165K/yr
We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving ... Benefits & Perks The following benefits and perks are for full time roles only. * Meaningful equity ...
Applied Machine Learning Scientist
San Francisco, CA · On-site
$140K - $165K/yr
We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving ... Benefits & Perks The following benefits and perks are for full time roles only. * Meaningful equity ...
Senior Data Scientist
San Francisco, CA · On-site
About the Role: • Design, build, and deploy machine learning models for ad targeting, ranking ... Mastercard benefits for full time (and certain part time) employees generally include: insurance ...
Senior Data Scientist
San Francisco, CA · On-site
About the Role: • Design, build, and deploy machine learning models for ad targeting, ranking ... Mastercard benefits for full time (and certain part time) employees generally include: insurance ...
Senior Data Scientist
San Jose, CA · On-site
We are expanding our engineering organization and seeking a Senior Data Scientist to design, build, and deploy the machine learning models that power our AI-driven cybersecurity platform. This role ...
Senior Data Scientist
San Jose, CA · On-site
We are expanding our engineering organization and seeking a Senior Data Scientist to design, build, and deploy the machine learning models that power our AI-driven cybersecurity platform. This role ...
Data Scientist
Campbell, CA · On-site
In this pivotal role, you will shape product strategy using robust scientific methodologies and apply advanced statistical analysis and machine learning on extensive datasets to drive data-driven ...
Data Scientist
Campbell, CA · On-site
In this pivotal role, you will shape product strategy using robust scientific methodologies and apply advanced statistical analysis and machine learning on extensive datasets to drive data-driven ...
Senior Data Scientist
San Jose, CA · On-site
They are seeking a Senior Data Scientist to design, build, and deploy machine learning models that improve their AI-driven cybersecurity platform, focusing on high-fidelity threat detection and ...
Senior Data Scientist
San Jose, CA · On-site
They are seeking a Senior Data Scientist to design, build, and deploy machine learning models that improve their AI-driven cybersecurity platform, focusing on high-fidelity threat detection and ...
They are seeking a highly motivated Principal Data Scientist with strong machine learning engineering expertise to lead the development of AI-powered data science tools that support business needs ...
They are seeking a highly motivated Principal Data Scientist with strong machine learning engineering expertise to lead the development of AI-powered data science tools that support business needs ...
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.
Applied Science / Data Science Leader
$320K - $380K/yr
Drive the development of statistical models, machine learning solutions, experimentation frameworks ... The US base salary range for this full-time position is $320,000 - $380,000 annually + equity ...
Applied Science / Data Science Leader
$320K - $380K/yr
Drive the development of statistical models, machine learning solutions, experimentation frameworks ... The US base salary range for this full-time position is $320,000 - $380,000 annually + equity ...
Data Scientist - AI/ML
Palo Alto, CA · On-site
This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...
Data Scientist - AI/ML
Palo Alto, CA · On-site
This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...
Full Time Data Scientist Machine Learning information
What does a full time data scientist specializing in machine learning do?
A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.
What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?
To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.
What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?
Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.
What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?
| Aspect | Full Time Data Scientist Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithms | Bachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL |
| Work Environment | Developing ML models, programming in Python/R, deploying algorithms | Data cleaning, reporting, creating dashboards, analyzing datasets |
| Industry Usage | Tech, finance, healthcare, e-commerce | Retail, marketing, finance, healthcare |
Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.
What are the most commonly searched types of Data Scientist Machine Learning jobs in California?
The most popular types of Data Scientist Machine Learning jobs in California are:
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Weekly Hours: 40
Role Number: 200654431-0670
Summary
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.
Description
As an Applied Scientist, you will have the responsibility of pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. You will also be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving.
Minimum Qualifications
- Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field
- 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role
- Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching
- Hands-on experience building Marketing Mix models and validation through Matched Market testing
- Solid understanding of AIML technologies including Generative AI
- Proven track record of successfully delivering complex projects from start to finish
- Proficiency in programming languages such as Python, R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
- Excellent communication, collaboration, and presentation skills with meticulous attention to detail
Preferred Qualifications
- PhD in related field
- Hands-on experience leveraging Generative AI to improve productivity and generate new insights
- Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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