Company Description 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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description Come to work each day with an inclusive and collaborative business technology team. As a Senior Data Science and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. In this role, you’ll be responsible for: Advanced analytics knowledge of best-in-class data science methodologies, deep understanding of AI/ML space, proven track record of solving business problems using data science and ability to work with business and cross functional teams to deliver and execute complex analytics problems. Develop curated datasets using Dataiku or similar tools like Alteryx per business use cases and facilitate self-service analytics. Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance. Exceptional analytical skills on complex datasets and experience solving ambiguous problems using data with interest to establish robust measurement frameworks. Proven track record of leveraging data to deliver business value and present data-driven insights to senior leaders. Explore and extract data from multiple sources and analyze it to discover trends and patterns, create meaningful insights and apply strong knowledge of data science for making informed decisions based on data insights. Design/Develop data visualizations to effectively communicate data findings to both technical and non-technical audiences. Develop processes and tools to monitor and analyze model performance and data accuracy and lead the advanced analytics framework through AI/ML. Establish and follow data science best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance. Serve as internal SME on Dataiku platform and drive the self-service COE with office hours training and establish data governance around the curated datasets and metrics, and best practices on taxonomy, and other. Qualifications Tools and skills you will use in this role: Data Prep and data science tools like Dataiku or similar tools like Alteryx, Tableau Data Prep Data Visualization Tools like Tableau, Power BI and ThoughtSpot. Advanced SQL and Python Cloud data warehouse Snowflake JIRA and agile project methodology Predictive and prescriptive models, other statistical models, and knowledge in data science in general. Highly autonomous and productive in accomplishing the deliverables with minimal direction. Demonstrated knowledge of the large language models and generative AI. Experiences that make you a strong candidate for this role: Required Bachelor’s Degree with 7 years of experience; master’s degree with 6 years’ experience; or PhD with 3 years of experience. 5+ years hands on working experience in using data science framework and knowledge of using all the statistical or AI/ML learning models and recipes to address business use cases. 5+ years of hands-on experience in advanced SQL, Phyton, or R. 3+ years of hands-on experience with Data Prep tools like Dataiku or Alteryx, and Tableau. 3+ years of hands-on experience with Data Visualization tools like Power BI and Tableau. 3+ years of hands-on experience with cloud data warehouses like Snowflake or Amazon RedShift. Experience in running user training sessions and building a business power user community. Excellent oral and written communication skills, analytical skills, and stakeholder engagement. Experience in Data mining, Data discovery, building curated data sets, insight generation, advanced analytics, and data science. Beneficial Experience with Life Sciences Commercial Pharma and Sales Operations data, including insights into sales is a plus. Consulting experience in Data science and Advanced Analytics domain. Familiarity with Natural Language Processing (NLP) techniques, Large Language Model (LLM) applications, and generative AI technologies Open to remote anywhere in the United States. Why Business Technology Solutions For anyone who wants to use technology and data to make a difference in people’s lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we’re ready for you. Additional Information AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
Natural language processing (NLP) Tableau Artificial intelligence (AI) Data Science Python snowflake-cloud-data-platform Jira SQL Analytics Machine Learning dataiku Power BI alteryx