594 Digital Analytics Intern jobs in San Francisco,CA

Hybrid~ 51 minEducation AssistanceHealth InsuranceRetirement Benefit

Software Developer, Winter 2027 (Internship) - 4 months

BMO Financial

San Ramon, CA 94583

Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities.
As a full-time employee, we would require 3-5 years of experience
However as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.

Entry Level Customer Success Opportunity

Year Up United

San Francisco, CA 94199

$525/wk

Onsite

A high school graduate or GED recipient
Eligible to work in the U. S.
Have not obtained a Bachelor? s degree
Highly motivated to learn technical and professional skills
You may be required to answer additional screening questions when applying

SEO Campaign Strategist

First Page Sage, LLC

Berkeley, CA 94705

~ 52 min OnsiteChildcare AssistanceHealth InsurancePaid Time OffRetirement Benefit

QC Associate Scientist - CMC Analytical - Weekend Shift

LGC Group

Petaluma, CA 94954

$28.12/hr

Science degree in Chemistry, Biology or similar with 2 years lab experience in manufacturing
Must have strong organic chemistry and/or analytical chemistry knowledge, and proficiency in associated analytical techniques; HPLC, LC-MSMS or GC-MS
Proficient in cGMP
Solid understanding of analytical manufacturing support
This is an Weekend Shift: Friday-Sunday (3 x 12 hours, 7am - 7:30pm)

New, Posted 3 hours ago

Router

SYSCO

Fremont, CA 94537

No Experience

Easy Apply

Sales Rep - Entry Level - Weekly Pay

Vector Marketing

Oakland, CA 94611

Flexible Schedule

Enjoy working with people
All ages eighteen plus or seventeen and a high school graduate
Conditions apply
Willing to learn and apply new skills

Estimator

East Bay Restaurant Supply

Oakland, CA 94610

Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 49 min

The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
Programming skills in Python and experience with common data-science and machine-learning libraries.
Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
Experience with SQL and modern data-processing or data-platform technologies.
Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
Experience working with structured, time-series, sensor, or high-volume manufacturing data.
Exposure to wafer fabrication, photonics, and telecommunications is a plus.
Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.

Expert Revenue Requirements Analyst

PG&E Corporation

Oakland, CA 94612

Hybrid~ 23 min

BS/BA degree in Business, Economics, Accounting, Engineering or related discipline or equivalent related experience
6 years of related experience
Expert Excel, Word, and PowerPoint skills
Strong knowledge of case management procedures and processes

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New, Posted 1 day ago

OnsiteHealth InsuranceRetirement Benefit

Senior Associate, Tax - Accounting Methods (AMCS)

KPMG

San Francisco, CA 94112

Minimum two years of recent experience in accounting methods, business tax services, federal tax consulting, or a related technical tax role within a public accounting firm or corporate tax department
Bachelor's degree from an accredited college/university in accounting, finance, taxation, or a related field is required
Knowledge of accounting method principles related to income and expense recognition, capitalization, cost recovery, inventory, or other domestic tax consulting matters
Proficiency with Microsoft Excel and familiarity with data analytics, AI-enabled tools, and technology solutions used to support tax service delivery
Strong research, analytical, oral, and written communication skills with the ability to work directly with clients and engagement teams