Lead Data Scientist

BCforward; United States; Remote; USD 96,432 - 103,320; Part time

Benefits offered by this job

Comprehensive benefits package

Major medical and dental insurance

401k

Job summary

A leading data consulting firm is seeking a Lead Data Scientist to drive marketing measurement through advanced causal modeling and statistical analysis. You will collaborate with stakeholders to build optimization models, influence marketing strategies, and lead a team of data scientists. The ideal candidate has extensive experience in data science and a strong background in marketing analytics. This is a remote position with a competitive hourly rate.

Qualifications

• 6+ years of hands-on experience as a coding data scientist.
• 4+ years of experience building MMM and attribution models.
• Advanced SQL and Python skills.
• Strong background in causal modeling and Bayesian modeling.
• Proven ability to influence marketing decisions through data.

Responsibilities

• Partner with data science leadership to build optimization and ML models.
• Develop and maintain causal measurement strategies.
• Conduct statistical and econometric analysis for marketing effectiveness.
• Translate complex model outputs into actionable recommendations.
• Design and execute A/B testing strategies.

Skills

Hands-on coding experience

MMM and attribution models

Advanced SQL

Python skills

Causal modeling

Data influence

Problem-solving skills

Cloud-based AI platforms

Education

Bachelor's degree in a quantitative field

Tools

DAGs

Bayesian modeling (PyMC)

MMM frameworks (Robyn, Meridian)

XGBoost

Job description

Overview

Lead Data Scientist – Marketing Measurement – Remote Location

Position Title

Lead Data Scientist – Marketing Measurement

Location

Remote

Anticipated Start Date

10/28/2025

Expected Duration

6+ Months

Job Type

Contract

Salary Range

$70 - $75/hr

Benefits / Notes

Please note that actual compensation may vary within this range due to factors such as location, experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.). BCforward offers a comprehensive benefits package including major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k. This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. BCforward will only use personal information collected as part of the recruitment process to complete the recruitment process.

Key Responsibilities

• Partner with data science leadership, ML engineers, and business stakeholders to build optimization and machine learning models using modern tools and platforms.
• Lead within a product team by providing insights, technical guidance, and strategic recommendations.
• Develop and maintain causal measurement strategies including MMM, Difference-in-Differences, Regression Discontinuity, and causal ML.
• Conduct deep statistical and econometric analysis to evaluate marketing effectiveness and guide budget allocation.
• Translate complex model outputs into clear, actionable recommendations for marketing, finance, and leadership teams.
• Design and execute A/B testing strategies for marketing campaigns.
• Advise business partners on technical solutions and measurement strategies.
• Contribute to team strategy, best practices, and mentoring of junior data scientists.
• Monitor and improve model performance based on business feedback.
• Engage with the broader data science team for collaboration, feedback, and continuous improvement.
• Participate in strategic planning, documentation, and technical standards development.

Minimum Qualifications

• 6+ years of hands-on experience as a coding data scientist.
• 4+ years of experience building MMM and attribution models.
• Bachelor’s degree in a quantitative field (Math, Stats, Data Science, Econ, etc.).
• Advanced SQL and Python skills.
• Strong background in causal modeling (DAGs, falsification, regression), Bayesian modeling (PyMC), MMM frameworks (Robyn, Meridian), and ensemble methods (XGBoost).
• Experience working with large datasets and writing complex queries.
• Proven ability to influence marketing decisions through data.
• Self-starter with strong problem-solving skills and time management.
• Experience with cloud-based AI platforms.

Preferred Qualifications

• Experience in a marketing analytics agency or consulting environment.

About BCforward

BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.

Legal / Privacy

To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for various categories of personal information. BCforward will only use this information to complete the recruitment process.