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Lead Data Scientist

Galent

California • 4d ago

Easy Apply

Full-time

Up to $140,000

Lead Data Scientist - IntelliScript (Remote)

Milliman IntelliScript

Remote or Brookfield, Wisconsin • Today

Full-time

USD 117,500.00 - 249,780.00 per year

Lead Data Scientist

Charter Global, Inc.

Remote • 18d ago

Easy Apply

Third Party, Contract

$90 - $100

Lead Data Scientist

Snorkel AI

San Francisco, California • Today

Full-time

USD 130,000.00 - 200,000.00 per year

Lead Data Scientist, Product

Descript

Remote or San Francisco, California • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Lead Product Data Scientist

DocuSign Inc

San Francisco, California • Today

Full-time

USD 186,100.00 - 300,550.00 per year

Lead Data Scientist - Autonomous Goal Management

Humana Inc

Remote • Today

Full-time

USD 142,300.00 - 195,700.00 per year

Lead Data Scientist

Memorial Hermann Health System

Remote or Texas • Today

Full-time

Lead Data Scientist, AdTech

Launch Potato

Remote • Today

Full-time

Lead Data Scientist (Remote)

Hyatt Corporatation

Remote or Chicago, Illinois • Today

Full-time

Compensation information provided in the description

Lead Data Scientist

Stord, Inc.

Remote • Today

Full-time

Technical Analytics Manager / Lead Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Remote or Fairfax, Virginia • Today

Full-time

Senior Data Scientist

Mercury

San Francisco, California • 2d ago

Full-time

USD 166,600.00 - 250,900.00 per year

Senior Data Scientist - Document Verification

Socure

San Francisco, California • Today

Full-time

USD 191,000.00 - 230,000.00 per year

Senior Data Scientist

Adobe Systems

San Francisco, California • Today

Full-time

USD 133,100.00 - 236,400.00 per year

Senior Data Scientist, Product Analytics

The Gallup Organization

San Francisco, California • Today

Full-time

USD 175,000.00 - 200,000.00 per year

Senior Data Scientist, Causal Inference + Experimentation

Discord Inc.

San Francisco, California • Today

Full-time

USD 220,500.00 - 245,000.00 per year

Sr. Data Scientist, Infrastructure

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 139,764.00 - 287,749.00 per year

Senior AI Data Scientist I

Exelixis

Alameda, California • Today

Full-time

USD 143,500.00 - 203,000.00 per year

Senior Data Scientist, Growth

Glean

San Francisco, California • Today

Full-time

USD 200,000.00 - 260,000.00 per year

Senior Data Scientist, Applied AI

Rippling

San Francisco, California • Today

Full-time

USD 138,000.00 - 230,000.00 per year

Senior Data Scientist, Algorithm, Lyft Biz

Lyft

San Francisco, California • Today

Full-time

USD 136,160.00 - 170,200.00 per year

Senior Growth Data Scientist

DocuSign Inc

San Francisco, California • Today

Full-time

USD 146,400.00 - 235,375.00 per year

Senior/Staff Data Scientist, EPD

Zip

San Francisco, California • 25d ago

Full-time

USD 180,000.00 - 220,000.00 per year

Senior Data Scientist, Creator Platform

Roblox

San Mateo, California • Today

Full-time

USD 263,670.00 - 322,820.00 per year

Senior Data Scientist - Identity

LiveRamp

San Francisco, California • Today

Full-time

USD 130,000.00 - 196,500.00 per year

Senior Data Scientist - Discovery

Roblox

San Mateo, California • Today

Full-time

USD 193,170.00 - 263,670.00 per year

Senior Data Scientist, Consumer Apps

Roblox

San Mateo, California • Today

Full-time

USD 263,670.00 - 322,820.00 per year

Senior / Staff Data Scientist, Trust & Safety

Suno

San Francisco, California • Today

Full-time

USD 220,000.00 - 320,000.00 per year

Sr Manager, Data Scientist, Technical Developoment

Gilead Sciences, Inc.

Foster City, California • Today

Full-time

USD 182,070.00 - 235,620.00 per year

Job Details

Skills

Python
SQL
Data Science
Pandas
Financial
Payments
AWS
S3
ML
Stakeholder Management

Summary

Job Title: Lead Data Scientist
Location: San Mateo County, CA (Onsite)

Job Summary

Own end-to-end delivery for a portfolio of data science and data engineering projects.
Lead a team of approximately five data science and data engineering practitioners.
Serve as the senior technical and delivery point of contact for client stakeholders.
Set solution direction, ensure quality and timeliness, and help grow team capabilities.
Remain hands-on with data and code while driving strategy, delivery, and people leadership.

Key Responsibilities

Own scoping, planning, and execution of data science and data engineering workstreams.
Ensure on-time, high-quality delivery against client commitments.
Lead, mentor, and develop a team of data scientists and data engineers.
Allocate work, review deliverables, and support career growth.
Serve as the primary technical liaison to client and partner stakeholders, including acquirer-facing and merchant-facing teams.
Translate business goals into analytical solutions and communicate results to technical and non-technical audiences.
Architect end-to-end solutions spanning data ingestion, pipelines, modeling, evaluation, and deployment across large-scale financial datasets.
Write and review production-grade Python and SQL code.
Establish engineering standards for reproducibility, testing, and code quality.
Guide the development of statistical and machine learning models, including segmentation, propensity modeling, forecasting, and anomaly/risk signal detection.
Ensure compliance with data privacy, security, and governance requirements for regulated financial data.
Contribute to estimation, staffing, and proposal activities.
Identify opportunities to expand engagement scope and impact.

Required Skills

Python with expert-level, production experience for data science and engineering.
Experience with pandas, scikit-learn, and standard machine learning/data science tooling.
Advanced SQL skills, including performance-aware query design for large relational and analytical datasets.
Demonstrated ownership of end-to-end project delivery from problem definition through deployment with measurable business outcomes.
Experience leading or mentoring teams and managing stakeholder commitments.
Strong stakeholder communication and presentation skills.
Ability to explain complex technical concepts to a variety of audiences.

Preferred Skills

Hands-on AWS experience with data and machine learning workloads, including services such as S3, Glue, EMR, Redshift, SageMaker, or equivalent.
Direct experience within the payments ecosystem, including issuers, acquirers, payment networks, or merchants.
Familiarity with transaction-level financial data.
Experience with modern data engineering practices, including orchestration, data modeling, CI/CD, and distributed processing frameworks such as Spark.
Exposure to MLOps, feature stores, and production model monitoring.
Prior consulting or client-facing delivery experience.

Qualifications

6+ years of experience delivering data science projects within financial institutions, including banking, payments, cards, lending, or other regulated environments.
Bachelor s or Master s degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

_RighttoWorkPoster.pdf

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91081485
Position Id: 9051734
Posted 27 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Pavithran Valayapathy

Recruiter @ Galent

View Profile

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Job Details

Skills

Python
SQL
Data Science
Pandas
Financial
Payments
AWS
S3
ML
Stakeholder Management

Summary

Job Title: Lead Data Scientist
Location: San Mateo County, CA (Onsite)

Job Summary

Own end-to-end delivery for a portfolio of data science and data engineering projects.
Lead a team of approximately five data science and data engineering practitioners.
Serve as the senior technical and delivery point of contact for client stakeholders.
Set solution direction, ensure quality and timeliness, and help grow team capabilities.
Remain hands-on with data and code while driving strategy, delivery, and people leadership.

Key Responsibilities

Own scoping, planning, and execution of data science and data engineering workstreams.
Ensure on-time, high-quality delivery against client commitments.
Lead, mentor, and develop a team of data scientists and data engineers.
Allocate work, review deliverables, and support career growth.
Serve as the primary technical liaison to client and partner stakeholders, including acquirer-facing and merchant-facing teams.
Translate business goals into analytical solutions and communicate results to technical and non-technical audiences.
Architect end-to-end solutions spanning data ingestion, pipelines, modeling, evaluation, and deployment across large-scale financial datasets.
Write and review production-grade Python and SQL code.
Establish engineering standards for reproducibility, testing, and code quality.
Guide the development of statistical and machine learning models, including segmentation, propensity modeling, forecasting, and anomaly/risk signal detection.
Ensure compliance with data privacy, security, and governance requirements for regulated financial data.
Contribute to estimation, staffing, and proposal activities.
Identify opportunities to expand engagement scope and impact.

Required Skills

Python with expert-level, production experience for data science and engineering.
Experience with pandas, scikit-learn, and standard machine learning/data science tooling.
Advanced SQL skills, including performance-aware query design for large relational and analytical datasets.
Demonstrated ownership of end-to-end project delivery from problem definition through deployment with measurable business outcomes.
Experience leading or mentoring teams and managing stakeholder commitments.
Strong stakeholder communication and presentation skills.
Ability to explain complex technical concepts to a variety of audiences.

Preferred Skills

Hands-on AWS experience with data and machine learning workloads, including services such as S3, Glue, EMR, Redshift, SageMaker, or equivalent.
Direct experience within the payments ecosystem, including issuers, acquirers, payment networks, or merchants.
Familiarity with transaction-level financial data.
Experience with modern data engineering practices, including orchestration, data modeling, CI/CD, and distributed processing frameworks such as Spark.
Exposure to MLOps, feature stores, and production model monitoring.
Prior consulting or client-facing delivery experience.

Qualifications

6+ years of experience delivering data science projects within financial institutions, including banking, payments, cards, lending, or other regulated environments.
Bachelor s or Master s degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

_RighttoWorkPoster.pdf

Dice Id: 91081485
Position Id: 9051734
Posted 27 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Pavithran Valayapathy

Recruiter @ Galent

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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•

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USD 247,000.00 - 290,000.00 per year

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