Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
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 bestinclass data science methodologies deep understanding of AI/ML space proven history of solving business problems using data science and ability to work with crossfunctional teams to deliver and execute complex analytics problems.
- Experience with Natural Language Processing (NLP) techniques LLM prompt engineering LLMbased solution architecture such as retrievalaugmented 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 datadriven 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 nontechnical 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 selfservice citizen data science COE with office hours training and establish data governance around the curated datasets and metrics and best practices on taxonomy.
- Selfstarter 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 (ScikitLearn NumPy SciPy Pandas XGBoost Tensorflow PyTorch MXNet LLM)
Qualifications :
Required
- Bachelors Degree with 7 years experience; Masters 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 regression clustering forecasting feature selection/engineering deep learning timeseries analysis hypothesis testing anomaly detection)
- 5 years of experience in advanced SQL Phyton 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 with Data Visualization tools like Power BI and Tableau or ThoughtSpot.
- 3 years of experience with cloud data warehouses like Snowflake or Amazon RedShift.
- 3 years of experience with GenAI application development LLM prompt engineering LLMbased 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 or local law:
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.
We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our shortterm incentive programs.
This job is eligible to participate in our longterm incentive programs
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 Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives serving our community and embracing diversity and inclusion. It is AbbVies 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.
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No
Employment Type :
Fulltime
Employment Type
Full-time
