Lead Data Scientist- AD Tech (Remote - US) Job at Jobgether, United States

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  • Jobgether
  • United States

Job Description

This position is posted by Jobgether on behalf of Comcast. We are currently looking for a Lead Data Scientist - AD Tech in United States.

This role provides an opportunity to lead data science initiatives within a high-impact digital advertising environment. The Lead Data Scientist will analyze large-scale, complex datasets to generate actionable insights that drive business performance and revenue optimization. You will develop predictive models, create automated data pipelines, and partner with product and service teams to support strategic initiatives. The position requires expertise in advanced analytics, machine learning, and data visualization, along with the ability to communicate technical findings to diverse stakeholders. Ideal candidates are collaborative, innovative, and motivated by solving complex problems in a fast-paced, technology-driven setting.

Accountabilities

  • Extract insights from high-volume transactional and business data to support revenue optimization strategies.
  • Lead the development of automated processes for data cleansing, integration, and evaluation from multiple sources.
  • Apply advanced statistical and machine learning techniques to analyze historical and real-time data, identifying patterns and trends.
  • Build predictive models to forecast customer behavior, product performance, and revenue outcomes.
  • Collaborate with product and service teams to translate business questions into data-driven solutions.
  • Construct actionable recommendations, strategic plans, and dashboards to guide decision-making.
  • Lead projects or teams as needed, providing expertise and mentorship to peers.
  • Master’s degree in a quantitative field or equivalent combination of education and experience.
  • 10+ years of experience in data science, analytics, or related roles, preferably in advertising technology.
  • Strong proficiency in SQL and Python; experience with AWS, Databricks, and AI frameworks is a plus.
  • Deep understanding of advanced statistical methods, algorithms, and predictive modeling.
  • Ability to manage large, complex, and noisy datasets effectively.
  • Excellent problem-solving, critical thinking, and communication skills.
  • Collaborative mindset with the ability to work cross-functionally and influence stakeholders.
  • Experience leading projects or teams is preferred.
  • Competitive base salary within industry pay ranges, depending on location and experience.
  • Performance-based bonuses or incentives.
  • Comprehensive health, dental, and vision insurance plans.
  • Retirement savings plan with company contributions.
  • Flexible work arrangements, including remote options.
  • Professional development opportunities and access to advanced tools and technologies.
  • Paid time off, holidays, and other wellness benefits.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then managed by their internal hiring team.

Thank you for your interest!

#LI-CL1

Job Tags

Remote job, Full time, Worldwide, Flexible hours,

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