Top 56 Learning model for optimization expert phd Jobs in San Francisco, Ca

Senior Manager, Data Science
BMO Financial —San Francisco, CA
- $122,400 - $228,000 a year
- Part-time
- Hybrid work
- 7 years
- Computer Science
- SQL
- Health insurance
- Tuition reimbursement
14d
Senior Data Scientist (I & II)
Instacart —San Francisco, CA
- $194,000 - $230,000 a year
- Remote
- 5 years
- SQL
- Math
Quick Apply
Data Scientist
Verse —San Francisco, CA
- $146,000 - $172,000 a year
- Azure
- Computer Science
- AWS
- Health insurance
- Dental insurance
Quick Apply
Data Scientist
ReadyOn —San Francisco, CA
- Full-time
- Computer Science
- Bachelor of Science
- Office
Quick Apply
5d
Senior Manager, Data Science - Foundational Models
Stitch Fix —San Francisco, CA
- $200,000 - $246,000 a year
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Senior Data Scientist
Verse —San Francisco, CA
- $190,000 - $230,000 a year
- Management
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Quick Apply
Founding AI Research Engineer - Robot Learning
Origin —San Francisco, CA
- $100,000 - $300,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design
Quick Apply
Staff Data Scientist
Midi Health —San Francisco, CA
- $210,000 - $240,000 a year
- Office
- Master's degree
- 8 years
Quick Apply
2d
Quantitative Analyst
Verse —San Francisco, CA
- $120,000 - $155,000 a year
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
Data Analyst
Hayden AI —San Francisco, CA
- $123,077 - $160,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Staff Machine Learning Engineer
Motional —San Francisco, CA
- $205,000 - $272,500 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick Apply
Senior / Principal Scientist, AI for Protein Engineering
Lila Sciences —San Francisco, CA
- $268,000 - $358,000 a year
- Computer Science
- Doctor of Philosophy
- Senior level
Quick Apply
RESEARCHER, EFFICIENT INFERENCE
MakerMaker —San Francisco, CA
- Full-time
- 5 years
- Doctor of Philosophy
- Senior level
Quick Apply
Head of DMPK
General Proximity —San Francisco, CA
- Email
- Business development
- Machine learning
- Doctor of Philosophy
- Health insurance
- Dental insurance
Quick Apply
Senior Director, AI Model Lifecycle
Crusoe —San Francisco, CA
- $301,750 - $355,000 a year
- Full-time
- Computer Science
- Research
- Doctor of Philosophy
- Commuter assistance
- Paid parental leave
Quick Apply
Member of the Technical Staff
Kiso Technology —San Francisco, CA
- $110,000 - $350,000 a year
- Full-time
- Computer Science
- Office
- Math
- Relocation assistance
Computational Chemist
Topos Bio —San Francisco, CA
- Full-time
- Data analysis skills
- Doctor of Philosophy
- Fingerprint clearance
Quick Apply
Staff Product Manager
Mariana Minerals —San Francisco, CA
- $180,000 - $210,000 a year
- Full-time
- 7 years
- No degree
- Product management
Senior Machine Learning Engineer, Data Mining
Motional —San Francisco, CA
- $172,000 - $229,000 a year
- Hybrid work
- Computer science
- Azure
- 6 years
Quick Apply
Principal ML Research Engineer
Lila Sciences —San Francisco, CA
- Bilingual
- Computer science
- Computer Science
Quick Apply

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Senior Manager, Data Science

BMO Financial -
San Francisco, CA

Apply Now

Job Details

Part-time
$122,400 - $228,000 a year
14 days ago

Benefits

Health insurance
Tuition reimbursement
Life insurance
Retirement plan

Qualifications

AI platforms (beyond public GPTs)
Scalable systems
SQL
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Scalability
Machine learning (ML) fundamentals
Distributed computing
Machine learning frameworks
Technical Proficiency
Python
Cross-functional communication
Database software proficiency

Full Job Description

Application Deadline:

06/29/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is ideally a hybrid role but open to remote

Role Overview

We are looking for a Senior Data Scientist with a strong can‑do mindset, proven ability to ship production‑grade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive end‑to‑end delivery of Data & AI solutions—from problem framing and data acquisition to model development, deployment, and ongoing optimization—while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
Use strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

Translate complex analytical findings into clear, actionable insights that influence decision‑making at all levels.
Present recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholders.
Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
Establish and promote best practices in model development, MLOps, governance, and data quality.
Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

Serve as a subject matter expert for stakeholders across the enterprise.
Partner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scale.
Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI vision.
Mentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharing.

Execution & Change Leadership

Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
Lead change management and communication efforts associated with analytics initiatives.
Implement processes and controls that ensure high‑quality, consistent delivery of analytical work.

Qualifications

7+ years of relevant experience in data science, machine learning, or applied analytics.
Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experience.
Proven track record of shipping models to production and maintaining them at scale.
Expertise in machine learning and deep learning algorithms and frameworks.
Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply Now

Refine Your Search

learning model for optimization expert phd jobs in san francisco, ca

Senior Manager, Data Science

Senior Data Scientist (I & II)

Data Scientist

Data Scientist

Senior Manager, Data Science - Foundational Models

Senior Data Scientist

Founding AI Research Engineer - Robot Learning

Staff Data Scientist

Quantitative Analyst

Data Analyst

Staff Machine Learning Engineer

Senior / Principal Scientist, AI for Protein Engineering

RESEARCHER, EFFICIENT INFERENCE

Head of DMPK

Senior Director, AI Model Lifecycle

Member of the Technical Staff

Computational Chemist

Staff Product Manager

Senior Machine Learning Engineer, Data Mining

Principal ML Research Engineer

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