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Form of workJob 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 www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job DescriptionCome 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:
- A successful candidate will bring 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.
- Strong knowledge of data modeling, data mash up techniques and creating complex logical attributes and KPI measures
- 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.
- Expand Data Science skillset through research, continuous learning, and development opportunities.
- Serve as internal SME on Dataiku platform and drive the self-service COE with office hours training.
- Establish data governance around the curated datasets and metrics, and best practices on taxonomy, and other.
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
- SQL, Python, or R
- Cloud data warehouse Snowflake or Amazon Redshift
- JIRA and agile project methodology
- Predictive and prescriptive models, other models, and knowledge in Data Science in general
- Highly autonomous and productive in accomplishing the deliverables with minimal direction.
Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
QualificationsExperiences 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 2 years of experience.
- 5+ years hands on working experience in using Data Science tools and creating statistical or AI/ML learning models and recipes to address business use cases.
- 5+ years of hands on experience in writing complex SQL and Phyton codes.
- 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, Tableau, or ThoughtSpot.
- 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.
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
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 short-term incentive programs.
- This job is eligible to participate in our long-term 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 Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
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.
