Sr Data Science and Analytics Engineer

Key Skills

Aartificial intelligence, Alteryx, Amazon RedShift, Data Analytics, Data Engineering, Data science techniques, Data Visualization, Data Warehousing, Dataiku, Machine learning techniques, PowerBI, Python Programming, R Programming, Snowflake, SQL

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:

• 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.

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; PhD with 2 years of related experience.
• 5+ years of related experience in using data science tools and creating statistical or AI/ML learning models and recipes to address business use cases using Dataiku, SQL and phyton.
• Data Prep tools like Dataiku, Alteryx, Tableau
• Data Visualization tools like Power BI, Tableau or ThoughtSpot
• Cloud data warehouse Snowflake
• 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

If you believe you’re a great fit for this job but don’t have all the experience listed above, we encourage you to apply anyway!

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.

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.