Top 4 principal data scientist Jobs in antioch ca

Principal Machine Learning Engineer
Gap Inc. —Pleasanton, CA
- $209,700 - $272,600 a year
- Full-time
- Azure
- Budgeting
- In-person
- Store discount
- Employee stock purchase plan
Principal AI Engineer
Cornerstone OnDemand, Inc. —Dublin, CA
- $151,200 - $241,900 a year
- Full-time
- System design
- Office
- 3 years
Principal Data Scientist : Product to Market (P2M) Optimization
Gap Inc. —Pleasanton, CA
- $201,700 - $267,300 a year
- Full-time
- Master's degree
- SQL
- Doctor of Philosophy
- Store discount
- Employee stock purchase plan
Principal Data Scientist
STRATEGYGEN CO —United States
- $130,000 - $165,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- Master's degree
- Health insurance
- Dental insurance
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Decision Scientist - AI Trainer
DataAnnotation —Berkeley, CA
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
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Economic Analyst - AI Trainer
DataAnnotation —Hayward, CA
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
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Principal Data Scientist- Mortgage Sales & Strategy Analytics
Citizens Financial Group —Columbus, OH
This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-…
$157,000 - $197,000 a year
Principal Data Scientist : Product to Market (P2M) Optimization
Gap Inc. —Groveport, OH
Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment…

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Principal Machine Learning Engineer

Gap Inc. -
Pleasanton, CA

Apply Now

Job Details

Full-time
$209,700 - $272,600 a year

Benefits

Store discount
Employee stock purchase plan
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Life insurance

Qualifications

AI models
TensorFlow
Statistics
Implementing demand forecasting tools
Cloud analytics services
Software engineering
Bayesian inference
Data visualization software proficiency
Data Integration (Data management)
Azure
Predictive modeling analysis
Automation
Enterprise software
Spark
Software implementation
Employee relationship building
AI platforms (beyond public GPTs)
Gradient boosting
Enterprise software systems development
Econometric analysis
Programming languages
Collaboration with product development teams
Spark implementation
Machine intelligence
Logistic regression
SVM
Model deployment
Distributed systems
CNN
Developing large-scale AI models

Full Job Description

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.

Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.

We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.

We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About the Role

In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team in building data and analytics capabilities to enhance the analytical platform, partnering with Global Technology Solutions, Product, and business teams to advance retail forecasting across the organization.

What You'll Do

Design, develop, and deploy enterprise planning, or decision-support systems, forecasting in retail, consumer, marketplace, or supply-chain domains that support multi-horizon planning and scenario evaluation.
Expertise in Time series forecasting: hierarchical/aggregated forecasting, reconciliation concepts, seasonality, and multi-horizon evaluation.
Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols
Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis
Create measurement strategies for accuracy, bias, stability, and business outcomes; run back tests and controlled experiments where feasible.
Advanced proficiency in Python, Spark, and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure, GCP environments
Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
Collaborate with others in key initiatives and their implementation
Responsible for planning, budget and end results; set policies and strategic direction for area/team

Who You Are

Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods
Experience in econometric demand modeling and prescriptive analytics, including elasticity, promo lift, Bayesian methods, and optimization-based decision modeling.
Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
Evaluate sometimes complex situations using multiple sources of information (internal and external sources)
Able to filter, prioritize, analyze, and validate potentially complex In-depth understanding of concepts and procedures within own subject area and understanding of procedures and concepts in other areas

Benefits at Gap Inc.

Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
One of the most competitive Paid Time Off plans in the industry.*
Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
Employee stock purchase plan.*
Medical, dental, vision and life insurance.*
See more of the benefits we offer.

For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Salary Range: $209,700 - $272,600 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Apply Now

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principal data scientist jobs in antioch ca

Principal Machine Learning Engineer

Principal AI Engineer

Principal Data Scientist : Product to Market (P2M) Optimization

Principal Data Scientist

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