Senior Data Scientist, Remote

Job Details
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 X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok .
Job Description
Come to work each day with an inclusive and collaborative business technology team. As a Data Scientist in AbbVie Business Technology Solutions (BTS), you will 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.
Responsibilities:

• A successful candidate will bring advanced analytics knowledge of best-in-class data science methodologies, deep understanding of AI/ML space, proven history of solving business problems using data science and ability to work with cross-functional teams to deliver and execute complex analytics problems.
• Experience with Natural Language Processing (NLP) techniques, LLM prompt engineering, LLM-based solution architecture such as retrieval-augmented generation and AI Agent development.
• Develop processes and tools to monitor and analyze model performance and data accuracy and lead the advanced analytics framework through AI/ML.
• Experience in working with complex data sets (unstructured and structured data) to solve business use cases by establishing robust measurement frameworks and deliver business value with data-driven insights to senior leaders.
• Experience in data discovery and analysis to discover trends and patterns, meaningful insights and apply strong knowledge of data science for making informed decisions.
• Design/Develop data visualizations to effectively communicate insights to both technical and non-technical audiences.
• Establish and follow data sciences best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance.
• Serve as internal Data Science SME and on advanced analytics platform like Dataiku and drive the self-service citizen data science COE with office hours training and establish data governance around the curated datasets and metrics, and best practices on taxonomy.
• Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance.

Tools and skills you will use in this role:

• Data Prep and Data science platforms like Dataiku or similar tools
• Data Visualization Tools like Power BI, Tableau and ThoughtSpot
• Advanced SQL, Python, Spark, and a broad array of ML frameworks
• Cloud data warehouse Snowflake (Snow pipe, Stored Procs, Snowpark, Dynamic Tables, CTE)
• JIRA, CI/CD and Agile project methodology
• Predictive and prescriptive models, other statistical models, and knowledge in data science in general
• Cloud environment (AWS, Snowflake, Azure) with large datasets and with streaming data architectures.
• Demonstrated knowledge of large language models and generative AI.
• ML frameworks (Scikit-Learn, NumPy, SciPy, Pandas, XGBoost, Tensorflow, PyTorch, MXNet, LLM)

Qualifications Required:

• Bachelor's Degree with 7 years experience; Master's Degree with 6 years experience; PhD with 2 years experience.
• 5+ years of working experience in data science framework and knowledge of using all the statistical or AI/ML learning models to address business use cases with extensive experience with statistical/analytical methodologies and machine learning algorithms (e.g.classification, regression, clustering, forecasting, feature selection/engineering, deep learning, time-series analysis, hypothesis testing, anomaly detection)
• 5+ years of experiencein advanced SQL, Python, Spark, and a broad array of ML frameworks
• 3+ years of experience with advanced analytics and data science platforms like Dataiku.
• 3+ years of experience withData Visualization tools like Power BI and Tableau or ThoughtSpot.
• 3+ years of experience withcloud data warehouses like Snowflake orAmazon RedShift.
• 3+ years of experience with GenAI application development, LLM prompt engineering, LLM-based solution architecture like RAG, developing Chatbots and AI agents using both unstructured and structured data.
• 3+ years of experience in developing and deploying solutions in a Cloud environment (AWS, Azure) with large datasets and with streaming data architectures.
• Experience in data mining, data discovery, building curated data sets, insight generation, advanced analytics, and data science.

Preferred:

• Experience with Pharma data, including insights into commercial sales and field operations is a plus.
• Consulting experience in Data science and Advanced Analytics domain.

Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.Salary: $106,500 - $202,500
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible to participate in our short-term incentiveprograms.
• This job is eligible to participate in our long-term incentiveprograms

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable 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
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Company
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 . Follow @abbvie on Twitter , Facebook , Instagram , and YouTube .
Stock Symbol: ABBV
Stock Exchange: NYSE
Company info
Website Phone Location 1 North Waukegan Road
North Chicago
Illinois
60064
United States
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