Lead Data Scientist | Allergan Data Labs

Allergan Data Labs is on a mission to transform the Allergan Aesthetics beauty business at AbbVie, one of the largest pharmaceutical companies in the world. Our iconic brands include BOTOX® Cosmetic, CoolSculpting®, JUVÉDERM® and more. The medical aesthetics business is ripe for rapid growth and disruption, and we are looking to add to our high performing team to do just that.
Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences and had millions of consumers use it as part of their beauty journey.
We’re looking to add to our team as we prepare to launch a new array of game-changing technologies on our successfully adopted platform. If you’re interested in working within a startup-oriented environment, while having the backing of a very large company, please read on.
As a Lead Data Scientist, you will report to the Data Science Manager, as well as continuously collaborate with key stakeholders across the business to build data-driven products.
<h3 class=" text-white font-semibold text-lg mb-2">Responsibilities</h3>
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<li class=" leading-snug mb-2 pl-2">Take ownership for achieving objectives and key results for the Data Science & Engineering Department, allocate resources, oversee & own technical solutions, and work with Data Technical Project Managers to communicate schedules, statuses, and milestones.</li>
<li class=" leading-snug mb-2 pl-2">Serve as a technical thought leader, driving best practices in data science while guiding and mentoring the data science team.</li>
<li class=" leading-snug mb-2 pl-2">Partner closely with the Data Science Manager to align technical solutions with business objectives and contribute to strategic decision-making.</li>
<li class=" leading-snug mb-2 pl-2">Opportunity to manage a small team of data scientists and analysts by setting goals, supervising work, evaluating performance, removing barriers, cultivating career development, and promoting job satisfaction.</li>
<li class=" leading-snug mb-2 pl-2">In collaboration with Data Product Managers, work with cross-functional partners (Product Development, Marketing, Sales, Customer Success, etc.) to understand & document business requirements including objectives, estimated costs & benefits, inputs, accuracy, latency, scale, and governance constraints.</li>
<li class=" leading-snug mb-2 pl-2">Make individual technical contributions, such as the following:
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<li class=" leading-snug mb-2 pl-2">Collaborate with Data Engineers, Software Engineers, and other business partners to identify, gather, cleanse, and organize data sets needed for analyses & modeling projects.</li>
<li class=" leading-snug mb-2 pl-2">Perform exploratory data analyses using appropriate techniques (descriptive statistics, visual analytics, clustering, transformations, etc.) to understand, distill, and communicate the information content of data sets, and to extract features that are appropriate for formulation of metrics or as inputs to data models.</li>
<li class=" leading-snug mb-2 pl-2">Conduct inferential, predictive, prescriptive, causal, and other statistical analyses including hypothesis testing & forecasting to answer business questions, improve customer engagement, and drive business growth.</li>
<li class=" leading-snug mb-2 pl-2">Design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.</li>
<li class=" leading-snug mb-2 pl-2">Collaborate with Machine Learning Engineers to design and implement machine learning & AI models as scalable & robust solutions that can be deployed into production at scale, and help develop monitoring metrics to detect non-stationary behavior, anomalies, and degradation in production.</li>
</ul>
</li>
<li class=" leading-snug mb-2 pl-2">Enforce our governance & development standards, including processes & frameworks for logging experiments, code & model quality standards, documentation, and source controlling artifacts.</li>
<li class=" leading-snug mb-2 pl-2">Review technical designs, code implementations, and results for their appropriateness, effectiveness, and adherence to standards.</li>
<li class=" leading-snug mb-2 pl-2">Clearly document & present your work and informational materials at the appropriate level of detail to business partners & leadership.</li>
<li class=" leading-snug mb-2 pl-2">Maintain sharp professional knowledge & skills, and stay abreast of new developments in data science, machine learning, & AI.</li>
<li class=" leading-snug mb-2 pl-2">Generate intellectual property and business ideas that could generate value for the company, such as new use cases and approaches to using data.</li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2">Required Experience & Skills</h3>
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<li class=" leading-snug mb-2 pl-2">Completed BS, MS, or PhD in Computer Science, Statistics, Mathematics, Engineering, Data Science, or other quantitative field / equivalent experience.</li>
<li class=" leading-snug mb-2 pl-2">At least 7 years of experience as a Data Scientist applying statistical methods and machine learning as an individual contributor to solve business problems.</li>
<li class=" leading-snug mb-2 pl-2">Experience designing, training, and evaluating machine learning models that have been deployed into production at scale.</li>
<li class=" leading-snug mb-2 pl-2">Strong programming skills in Python, an understanding of core computer science principles, and experience with Python data manipulation frameworks such as Pandas & PySpark.</li>
<li class=" leading-snug mb-2 pl-2">Strong data manipulation skills in SQL, and good understanding of relational database design.</li>
<li class=" leading-snug mb-2 pl-2">Broad knowledge of basic computational statistics and good understanding of theoretical fundamentals of statistics.</li>
<li class=" leading-snug mb-2 pl-2">Thorough and broad knowledge of modeling and training techniques for machine learning & AI, as well as best practices for ensuring robustness and performance.</li>
<li class=" leading-snug mb-2 pl-2">Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, MLlib, PyTorch, TensorFlow/Keras, etc.</li>
<li class=" leading-snug mb-2 pl-2">Ability to apply statistical techniques for experimental design (e.g., A/B, multi-cell testing), causal inference methods, and time series analysis/forecasting.</li>
<li class=" leading-snug mb-2 pl-2">Talent and skills for creating clear data visualizations for both technical & non-technical audiences.</li>
<li class=" leading-snug mb-2 pl-2">Experience with data warehouses (e.g., dimensional modeling), data lakes/lakehouses, and other data architectures.</li>
<li class=" leading-snug mb-2 pl-2">Familiarity with Data Engineering, DataOps, and MLOps principles and tools.</li>
<li class=" leading-snug mb-2 pl-2">Strong interpersonal and verbal communication skills.</li>
<li class=" leading-snug mb-2 pl-2">Ability to work effectively from your remote location using modern collaborative tools running on a company-provided MacBook Pro.</li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2">Preferred Experience & Skills</h3>
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<li class=" leading-snug mb-2 pl-2">Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science (e.g., attribution, customer LTV, propensity, uplift models).</li>
<li class=" leading-snug mb-2 pl-2">Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production.</li>
<li class=" leading-snug mb-2 pl-2">Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information.</li>
<li class=" leading-snug mb-2 pl-2">Experience with MLFlow or other machine learning lifecycle tools.</li>
<li class=" leading-snug mb-2 pl-2">Familiarity with cloud machine learning services such as Amazon SageMaker.</li>
<li class=" leading-snug mb-2 pl-2">At least 1 year of experience managing one or more teams of data scientists and analysts.</li>
<li class=" leading-snug mb-2 pl-2">MS or PhD in a relevant quantitative field.</li>
<li class=" leading-snug mb-2 pl-2">Publications in data science, machine learning, AI, and/or other data-related topics.</li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2">Our Core Values</h3>
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<li class=" leading-snug mb-2 pl-2">Be Humble: You’re smart yet always interested in learning from others.</li>
<li class=" leading-snug mb-2 pl-2">Work Transparently: You always deal in an honest, direct and transparent way.</li>
<li class=" leading-snug mb-2 pl-2">Take Ownership: You embrace responsibility and find joy in having the answers.</li>
<li class=" leading-snug mb-2 pl-2">Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self-educate and improve your skill set.</li>
<li class=" leading-snug mb-2 pl-2">Show Gratitude: You show appreciation and return kindness to those you work with.</li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2">Perks</h3>
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<li class=" leading-snug mb-2 pl-2">Competitive salary.</li>
<li class=" leading-snug mb-2 pl-2">Competitive annual bonus targets.</li>
<li class=" leading-snug mb-2 pl-2">401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution.</li>
<li class=" leading-snug mb-2 pl-2">RSU grants (Long Term Incentives) for approved roles.</li>
<li class=" leading-snug mb-2 pl-2">Comprehensive medical, dental, vision and life insurance.</li>
<li class=" leading-snug mb-2 pl-2">17 paid holidays per year, including 3 floating holidays.</li>
<li class=" leading-snug mb-2 pl-2">Annual Paid Time Off (PTO), with separate sick days.</li>
<li class=" leading-snug mb-2 pl-2">12 weeks paid Parental Leave.</li>
<li class=" leading-snug mb-2 pl-2">Caregiver Leave.</li>
<li class=" leading-snug mb-2 pl-2">Adoption and Surrogacy Assistance Plan.</li>
<li class=" leading-snug mb-2 pl-2">Flexible workplace accommodations.</li>
<li class=" leading-snug mb-2 pl-2">We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games.</li>
<li class=" leading-snug mb-2 pl-2">Opportunities to attend concerts, festivals and other live entertainment events in recognition of delivering great work.</li>
<li class=" leading-snug mb-2 pl-2">Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles.</li>
<li class=" leading-snug mb-2 pl-2">Tuition reimbursement.</li>
<li class=" leading-snug mb-2 pl-2">A MacBook Pro and accompanying hardware to do great work.</li>
<li class=" leading-snug mb-2 pl-2">A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more.</li>
<li class=" leading-snug mb-2 pl-2">Generous discounts on SkinMedica skin care products.</li>
</ul>
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2">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.</li>
<li class=" leading-snug mb-2 pl-2">We offer a comprehensive package of benefits including paid time off. (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.</li>
<li class=" leading-snug mb-2 pl-2">This job is eligible to participate in our short-term incentive programs.</li>
<li class=" leading-snug mb-2 pl-2">This job is eligible to participate in our long-term incentive programs.</li>
</ul>
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.
Compensation Range (Minimum – Maximum)
$125,500—$238,500 USD

Lead Data Scientist | Allergan Data Labs | Remote (United States)

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