Senior Lead Data Scientist

Compass

$204K — $226K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or PhD in a quantitative field with 8+ years of professional data science experience.
  • Deep expertise in advanced data science techniques including XGBoost, deep learning, and NLP.
  • Proven experience leading technical initiatives across multiple teams.
  • Mastery of advanced Python and SQL for data manipulation and analysis.
  • Expertise in MLOps and deployment pipelines for large-scale models.
  • Ability to enforce clean code standards and software engineering practices.
  • Exceptional communication skills with experience advising leadership.

Responsibilities

  • Lead execution of large, ambiguous cross-functional initiatives.
  • Orchestrate efforts across teams, managing dependencies and timelines.
  • Foster shared ownership and implement scalable solutions from research.
  • Define and implement new processes and best practices in the Data organization.
  • Mentor senior data scientists and advise executive leadership.

Benefits

  • Paid vacation, holidays, sick time, and parental leave.
  • Medical, dental, and vision benefits, including tele-health.
  • 401(k) plan and flexible spending accounts (FSAs).
  • Life, disability insurance, and pet insurance.
  • Incentive programs including cash, equity, or commissions.
Full Job Description
About the Role:

We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional initiatives that are critical to Compass. In this role, you will have mastery over major organizational problems and solution spaces, delivering with complete independence and maintaining accountability for strategic intent and results. You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions.

Responsibilities:
  • Lead the execution of large, cross-functional initiatives where both the problem and solution approach are not well-defined.
  • Orchestrate efforts across multiple teams, managing dependencies and setting realistic timelines for high-impact projects.
  • Foster a culture of shared ownership across teams and translate cutting-edge industry research into practical, scalable solutions for the company.
  • Define and roll out new processes, methodologies, and best practices across the entire Data organization.
  • Mentor senior-level data scientists across the organization and act as a trusted advisor to executive leadership.

Qualifications:
  • Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience.
  • Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.
  • Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously.
  • Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design.
  • Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems.
  • Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring.
  • Proven ability to define and enforce clean code standards and software engineering best practices across teams.
  • Experience mentoring and developing senior-level data scientists to foster growth and technical excellence.
  • Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership.

Compensation: The base pay range for this position is $204,000-$226,700 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Perks that You Need to Know About:

Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.

Do your best work, be your authentic self.

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