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Trainee Principal Data Scientist Jobs (NOW HIRING)

AbbVie

Principal Data Scientist

Florham Park, NJ · On-site

$124K/yr

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products that support personalized commercial engagement and performance optimization. Operating within the ...

AbbVie

Principal Data Scientist

Mettawa, IL · On-site

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products that support personalized commercial engagement and performance optimization. Operating within the ...

AbbVie

Principal Data Scientist

Mettawa, IL · On-site

$124K/yr

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products that support personalized commercial engagement and performance optimization. Operating within the ...

Cyod

Principal Data Scientist

Shelbyville, TN · On-site

$140 - $180/hr

Requisition Number: 105937 Principal Data Scientist Focus: Clinical / HLS, Google Cloud Gen AI, Agents, and Applied ML Location: Nashville, TN area preferred Insight at a Glance * 14,000+ engaged ...

TradeStation Group, Inc.

Principal Data Scientist

The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about emerging AI and ML techniques, and independently learn new tools before being asked to. The ...

TradeStation

Principal Data Scientist

The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about emerging AI and ML techniques, and independently learn new tools before being asked to. The ...

Home Depot

Principal Data Scientist, Online

Atlanta, GA · On-site

The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the ...

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

The Principal Data Scientist is responsible for leading high-impact data science and AI initiatives that drive business growth, improve operational efficiency, and create better customer and ...

Formation Bio

Principal Data Scientist

New York, NY · On-site

$204K - $267K/yr

About the Position As a Principal Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead ...

Autodesk, Inc.

Principal Data Scientist

San Francisco, CA · On-site

$135K - $242K/yr

The Principal Data Scientist will work within an Engineering team focused on building frameworks to evaluate AI Systems. This is a critical data science role for our agentic product platform-a next ...

RS21

$132 - $178/hr

Principal Data Scientist - Albuquerque, NM (Hybrid) 30+ days ago Requisition ID: 1026 Salary Range: $132,000.00 To $178,000.00 Annually The Principal Data Scientist is a senior practitioner leader ...

Autodesk

Principal Data Scientist

San Francisco, CA

$135K - $242K/yr

The Principal Data Scientist willwork within an Engineering team focused on buildingframeworksto evaluateAI Systems.This is acriticaldata science role for our agentic product platform-anext ...

Walmart

Principal, Data Scientist

Hoboken, NJ · On-site

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

Walmart

Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

Walmart

Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

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Trainee Principal Data Scientist information

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$68.5K

$144K

$190.5K

How much do trainee principal data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for trainee principal data scientist in the United States is $144,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,000.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Principal Data Scientist vs Principal Data Scientist?

AspectTrainee Principal Data ScientistPrincipal Data Scientist
Experience LevelEntry to mid-level, training-focusedSenior, with extensive experience
ResponsibilitiesLearning, supporting projects, developing skillsLeading data strategy, overseeing teams, making high-level decisions
QualificationsTypically a recent graduate or early career, some certificationsAdvanced degrees (PhD or Master’s), multiple certifications
Work EnvironmentMentorship, training programs, collaborative teamsStrategic planning, stakeholder engagement, leadership roles

The Trainee Principal Data Scientist is an entry-to-mid level role focused on learning and supporting data projects, while the Principal Data Scientist is a senior expert responsible for strategic leadership and decision-making. The transition involves gaining experience, advanced qualifications, and leadership skills.

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Trainee Principal Data Scientist jobs near you
Infographic showing various Trainee Principal Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $144,009 per year, or $69.2 per hour.

Principal Data Scientist

AbbVie

Florham Park, NJ • On-site

$124K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Analytics and Performance Excellence (APEX) function supports AbbVie's US Commercial organization and is comprised of highly regarded researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative - and we'd love for you to join us.
The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products that support personalized commercial engagement and performance optimization. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role is accountable for the end-to-end technical strategy, model design, methodology, development, and validation of AI/ML and statistical solutions. These solutions enable data-driven decision making across customer engagement, targeting, optimization, measurement, and ongoing performance improvement. The role reports to the Associate Director, Data Science and serves as the primary technical partner to the analytics product owner, translating business outcomes and product requirements into rigorous, scalable, and actionable analytics solutions. The position requires deep expertise in applied machine learning, statistical modeling, experimentation, and omni-channel analytics within a pharmaceutical commercial context.
Key Responsibilities
  • Lead a portfolio of advanced analytics capabilities across customer understanding, engagement planning, decision support, and measurement.
  • Translate product requirements and business goals into scalable technical solutions, including model design, feature engineering, validation, and deployment.
  • Lead the design and development of predictive and inferential models that generate actionable insights on customer behavior, engagement opportunities, and drivers of business performance using complex, multi-source data.
  • Design analytics approaches that evaluate cross-channel engagement patterns, interaction effects, and temporal dynamics to inform coordinated customer strategies.
  • Own measurement methodologies to measure effectiveness, incrementality, and business impact using experimental and observational methods.
  • Partner with BTS, Digital Lab, engineering, and platform teams to build scalable, production-ready analytics and AI/ML solutions.
  • Establish best practices in model development, including code quality, documentation, reproducibility, peer review, version control, and methodological rigor.
  • Synthesize complex technical findings into clear, actionable insights and recommendations for non-technical stakeholders
  • Partner with engineering and platform teams to productionalize AI/ML solutions, including deployment, monitoring, and lifecycle management.
  • Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new capabilities.

Supervisory / Management Responsibilities
This role does not carry formal direct report responsibilities at this level but is expected to provide technical mentorship and hands-on guidance to junior and mid-level data scientists supporting the advanced analytics team. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation.
Key Competencies
  • Deep expertise in machine learning, statistical modeling, and causal inference, with a track record of delivering production-quality analytics solutions.
  • Strong ability to lead technical execution with Product Owners and cross-functional teams.
  • Ability to translate ambiguous business problems into well-scoped technical solutions with clear methods and success metrics.
  • Hands-on knowledge of the full data science lifecycle, from exploration and feature engineering to deployment and monitoring.
  • Strong software engineering discipline, including testing, documentation, reproducibility, and version control.
  • Deep familiarity with pharmaceutical data ecosystems, including HCP, patient, and engagement data.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Strong understanding of AI engineering principles, including deployment, monitoring, and enterprise integration.
  • Ability to work across data science, engineering, and platform teams to operationalize solutions at scale.

Qualifications
  • Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred.
  • 8+ years of experience in data science, machine learning, or advanced analytics, with delivery of production-quality models and solutions.
  • 5+ years of experience in pharmaceutical, biotech, healthcare, or life sciences commercial analytics is highly preferred.
  • 4+ years of experience in omnichannel analytics, including journey analysis, touchpoint measurement, engagement optimization, or next-best-action modeling.
  • 4+ years of experience measuring commercial effectiveness and business impact using methods such as promotional response analysis, closed-loop measurement, A/B testing, and quasi-experimental techniques.
  • Strong proficiency in Python and/or R and strong SQL skills; hands-on Python experience with pandas, NumPy, scikit-learn, and PySpark for data transformation, feature engineering, model development, and scalable workflows.
  • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow for sequential, temporal, or recommendation use cases.
  • Experience working with product owners, business stakeholders, and cross-functional teams to translate requirements into technical solutions.
  • Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management.

Preferred Experience
  • Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other deep learning approaches for sequential, recommendation, or next-best-action use cases.
  • Familiarity with pharmaceutical data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement datasets.
  • Experience working in agile product development environments.
  • Exposure to cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow.
  • Experience presenting analytical methods and findings to senior or executive audiences.
  • Exposure to modern AI engineering approaches, including LLM-based workflows, orchestration frameworks, or agentic AI patterns.
  • Experience integrating AI/ML solutions using APIs, pipelines, or orchestration tools

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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