Data Scientist Principal

Reposted 2 Days Ago
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Irving, TX, USA
In-Office
Senior level
Security
The Role
Leads complex data science projects using statistical modeling, machine learning, and data analysis to solve business problems and generate actionable insights. Builds predictive models, measurement strategies, experiments, data pipelines, and strategic learning roadmaps. Collaborates with product, engineering, and business teams; influences product and operational roadmaps; communicates findings to technical and non-technical audiences; and mentors data scientists and analysts.
Summary Generated by Built In

Summary:

The Principal Data Scientist will be a senior technical leader and individual contributor responsible for tackling our most challenging data science problems. This individual will leverage their deep expertise in statistical modeling, machine learning, and data analysis to extract actionable insights from complex datasets and drive data-informed decision-making across the organization. The ideal candidate is a creative problem-solver with a passion for turning data into value.  This role requires working closely with business partners while understanding and working within the constraints of the business.

 

Duties and Responsibilities:

  • Lead complex data science projects from conception to completion, working with large and diverse datasets.  
  • Apply advanced statistical and machine learning techniques to build predictive models, conduct in-depth analyses, and generate actionable insights.  
  • Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and solve key business problems.  
  • Mentor and provide technical guidance to other data scientists and analysts on the team.  
  • Communicate complex findings and recommendations to both technical and non-technical audiences.  
  • Stay current with the latest data science tools and techniques and champion their adoption within the organization.  
  • Influence product and operational roadmap with actionable insights and active deployments.
  • Discover key drivers of the business in a team and as an individual contributor.
  • Develop measurement strategy for scoped areas – deploying best principles around experiment design and statistical analysis
  • Build a strategic learning roadmap based on data observations, strategic imperatives and developed hypotheses
  • Experience managing data pipelines.

 

Minimum Qualifications:

  • Master's degree or equivalent in experience in a quantitative field such as a Computer Science, Statistics, Mathematics or a related discipline. 
  • 8+ years of hands-on experience in data science, with a strong portfolio of completed projects.  
  • Expertise in statistical modeling, machine learning, and data mining techniques.  
  • Proficiency in programming languages such as Python or R, and experience with data science libraries and tools (e.g., Scikit-learn, Pandas, Spark).  
  • Strong problem-solving skills and the ability to think creatively and strategically.  
  • Excellent communication and collaboration skills. 
  • Proven track record of delivering at least two major data products that resulted in measurable business growth or cost savings. 

 

Communication Skills:

  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

 

Environment Requirements: 

  • Remote/Home office (Continually=67-100% of the workday)

Skills Required

  • Master's degree or equivalent experience in computer science, statistics, mathematics, or a related quantitative field
  • 8+ years of hands-on data science experience
  • Expertise in statistical modeling, machine learning, and data mining techniques
  • Proficiency in Python or R
  • Experience with Scikit-learn, Pandas, Spark, or similar data science libraries and tools
  • Strong problem-solving and creative strategic thinking skills
  • Excellent communication and collaboration skills
  • Proven track record of delivering at least two major data products with measurable business growth or cost savings

ADT Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ADT and has not been reviewed or approved by ADT.

  • Retirement Support A 401(k) with a per‑paycheck company match and the possibility of an additional year‑end contribution is positioned as competitive. Feedback suggests this is a reliable anchor of total compensation value.
  • Parental & Family Support Paid parental leave, adoption/infertility support, and childcare discounts are highlighted as part of the package. Feedback suggests these offerings add meaningful non‑cash value across different employee groups.
  • Wellbeing & Lifestyle Benefits Core medical/dental/vision coverage is paired with an EAP, wellbeing programs, and employee discounts, with noted emphasis on mental‑health initiatives. Eligibility beginning the first of the month after 31 days in many roles reinforces accessibility and day‑to‑day usefulness.

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The Company
HQ: Boca Raton, FL
21,118 Employees
Year Founded: 1874

What We Do

ADT is the most trusted brand in smart home and business security. Through innovative products, partnerships and the largest network of smart home security professionals in the United States, we connect and protect what matters most to our customers at home, work and on the go. For more information, visit www.adt.com.

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