Lead Data Scientist

3 days ago

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Allergan Data Labs

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Allergan Data Labs is on a mission to transform the medical aesthetics business at Allergan Aesthetics, an AbbVie company (NYSE: ABBV), one of the largest pharmaceutical companies in the world$1. .$1

201 - 500

Description

• As a Lead Data Scientist, you will report to the Data Science Manager. • Take ownership for achieving objectives in the Data Science & Engineering Department. • Serve as a technical thought leader, driving best practices in data science. • Partner closely with the Data Science Manager to align technical solutions with business objectives. • Opportunity to manage a small team of data scientists and analysts. • Collaborate with cross-functional partners to understand business requirements. • Make individual technical contributions like exploratory data analyses. • Conduct statistical analyses including hypothesis testing & forecasting. • Design, train, and evaluate machine learning and AI models. • Collaborate with Machine Learning Engineers to design and implement models for production. • Enforce governance & development standards in data science practices.

Requirements

• Completed BS, MS, or PhD in Computer Science, Statistics, Mathematics, Engineering, Data Science, or other quantitative field / equivalent experience. • At least 7 years of experience as a Data Scientist applying statistical methods and machine learning as an individual contributor to solve business problems. • Experience designing, training, and evaluating machine learning models that have been deployed into production at scale. • Strong programming skills in Python, an understanding of core computer science principles, and experience with Python data manipulation frameworks such as Pandas & PySpark. • Strong data manipulation skills in SQL, and good understanding of relational database design. • Broad knowledge of basic computational statistics and good understanding of theoretical fundamentals of statistics. • Thorough and broad knowledge of modeling and training techniques for machine learning & AI, as well as best practices for ensuring robustness and performance. • Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, MLlib, PyTorch, TensorFlow/Keras, etc. • Ability to apply statistical techniques for experimental design (e.g., A/B, multi-cell testing), causal inference methods, and time series analysis/forecasting. • Talent and skills for creating clear data visualizations for both technical & non-technical audiences. • Experience with data warehouses (e.g., dimensional modeling), data lakes/lakehouses, and other data architectures. • Familiarity with Data Engineering, DataOps, and MLOps principles and tools. • Strong interpersonal and verbal communication skills. • Ability to work effectively from your remote location using modern collaborative tools running on a company-provided MacBook Pro.

Benefits

• Competitive salary. • Competitive annual bonus targets. • 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution. • RSU grants (Long Term Incentives) for approved roles. • Comprehensive medical, dental, vision and life insurance. • 17 paid holidays per year, including 3 floating holidays. • Annual Paid Time Off (PTO), with separate sick days. • 12 weeks paid Parental Leave. • Caregiver Leave. • Adoption and Surrogacy Assistance Plan. • Flexible workplace accommodations. • Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles. • Tuition reimbursement. • A MacBook Pro and accompanying hardware to do great work. • A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more. • Generous discounts on SkinMedica skin care products.