Remote Lead Data Scientist

Description:

• Allergan Data Labs is seeking a Lead Data Scientist to transform the Allergan Aesthetics beauty business at AbbVie.
• The role involves reporting to the Data Science Manager and collaborating with key stakeholders to build data-driven products.
• Responsibilities include achieving objectives for the Data Science & Engineering Department, overseeing technical solutions, and communicating schedules and milestones.
• The Lead Data Scientist will serve as a technical thought leader, guiding and mentoring the data science team.
• The position offers the opportunity to manage a small team of data scientists and analysts, setting goals and promoting career development.
• Collaboration with Data Product Managers and cross-functional partners is essential to understand and document business requirements.
• The role includes making individual technical contributions such as performing exploratory data analyses, conducting statistical analyses, and designing machine learning models.
• The Lead Data Scientist will enforce governance and development standards, review technical designs, and document work for business partners and leadership.
• Staying updated on developments in data science, machine learning, and AI is crucial, along with generating intellectual property and business ideas.

Requirements:

• A completed BS, MS, or PhD in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field is required.
• At least 7 years of experience as a Data Scientist applying statistical methods and machine learning is necessary.
• Experience in designing, training, and evaluating machine learning models deployed in production is essential.
• Strong programming skills in Python and experience with data manipulation frameworks such as Pandas and PySpark are required.
• Proficiency in SQL and a good understanding of relational database design are necessary.
• A broad knowledge of computational statistics and modeling techniques for machine learning and AI is required.
• Familiarity with machine learning frameworks and libraries such as scikit-learn, PyTorch, and TensorFlow/Keras is essential.
• Experience with experimental design, causal inference methods, and time series analysis is required.
• Strong data visualization skills for both technical and non-technical audiences are necessary.
• Familiarity with data architectures, DataOps, and MLOps principles is preferred.
• Strong interpersonal and verbal communication skills are essential, along with the ability to work effectively remotely.

Benefits:

• The position offers a competitive salary and annual bonus targets.
• A 401k plan with a dollar-for-dollar match up to 6% of eligible earnings is provided, along with additional company contributions.
• Employees receive RSU grants for approved roles and comprehensive medical, dental, vision, and life insurance.
• There are 17 paid holidays per year, including 3 floating holidays, and annual Paid Time Off (PTO) with separate sick days.
• The company offers 12 weeks of paid Parental Leave and Caregiver Leave, as well as an Adoption and Surrogacy Assistance Plan.
• Flexible workplace accommodations are available, and employees can attend AWS Re:Invent each year for approved roles.
• Tuition reimbursement is provided, along with a MacBook Pro and modern productivity tools.
• Employees enjoy generous discounts on SkinMedica skin care products.