BioSpace
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Data Scientist II
role at
BioSpace Come to work each day with an inclusive and collaborative Business technology team! As a
Data Scientist
in AbbVie Business Technology Solutions (BTS), youll 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
Assist the team with the analysis of business requirements and developing solution recommendations which anticipate the future impact of changing business requirements. Participate in the design and development of processes and systems to consolidate and analyze data. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream). Participate in the development of advanced analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling. In collaboration with more senior team members, generate reports with findings and help to communicate these effectively via written, oral and visual dashboard methods. Qualifications
Bachelors Degree or equivalent education plus 5 years of experience, Masters Degree or equivalent education plus 4 years of experience. Minimum undergraduate knowledge of statistical and machine learning methods, with knowledge in modeling and business analytics. Academic experience with statistical languages and packages, such as R or Python. Solid skill in at least one of Python or R. Academic experience in enhancing the data collection process by consolidating data, standardizing, optimization and performing exploratory data analysis before used on ML models (e.g., capstone projects). Academic experience working with modern relational databases and/or distributed computing platforms (Big Data) and their query interfaces, such as SQL, Spark, PySpark and Hive. Academic experience using visualization techniques for presenting data and analysis as dashboards in tools such as R/Shiny, GGPlot, Tableau, Qlik or custom web-based solutions. Familiarity with Amazon Web Services, Apache Spark, NumPy, TensorFlow, etc. is a plus. Excellent written and verbal communication skills. Comfortable working in a fast-paced, highly collaborative, dynamic work environment. Able to come onsite 3 days a week. Nice To Have
Background in life sciences or work experience in the pharmaceutical industry. Knowledge of Agile Project management processes. Knowledge of DevOps processes. Experience in Personalization, Search, Deep Learning, Operations Research. Experience with OS Linux/Unix. NLP, Data mining, text mining, etc. Working knowledge of Data Science tools like Dataiku, AWS SageMaker, etc. Additional Information
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. Salary: $82,500-$157,500. 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. 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. Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries
Internet News Note: No amount of pay is considered wages or compensation until earned, vested, and determinable. The amount and availability of any bonus, incentive, benefits, or any other form of compensation 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.
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Data Scientist II
role at
BioSpace Come to work each day with an inclusive and collaborative Business technology team! As a
Data Scientist
in AbbVie Business Technology Solutions (BTS), youll 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
Assist the team with the analysis of business requirements and developing solution recommendations which anticipate the future impact of changing business requirements. Participate in the design and development of processes and systems to consolidate and analyze data. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream). Participate in the development of advanced analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling. In collaboration with more senior team members, generate reports with findings and help to communicate these effectively via written, oral and visual dashboard methods. Qualifications
Bachelors Degree or equivalent education plus 5 years of experience, Masters Degree or equivalent education plus 4 years of experience. Minimum undergraduate knowledge of statistical and machine learning methods, with knowledge in modeling and business analytics. Academic experience with statistical languages and packages, such as R or Python. Solid skill in at least one of Python or R. Academic experience in enhancing the data collection process by consolidating data, standardizing, optimization and performing exploratory data analysis before used on ML models (e.g., capstone projects). Academic experience working with modern relational databases and/or distributed computing platforms (Big Data) and their query interfaces, such as SQL, Spark, PySpark and Hive. Academic experience using visualization techniques for presenting data and analysis as dashboards in tools such as R/Shiny, GGPlot, Tableau, Qlik or custom web-based solutions. Familiarity with Amazon Web Services, Apache Spark, NumPy, TensorFlow, etc. is a plus. Excellent written and verbal communication skills. Comfortable working in a fast-paced, highly collaborative, dynamic work environment. Able to come onsite 3 days a week. Nice To Have
Background in life sciences or work experience in the pharmaceutical industry. Knowledge of Agile Project management processes. Knowledge of DevOps processes. Experience in Personalization, Search, Deep Learning, Operations Research. Experience with OS Linux/Unix. NLP, Data mining, text mining, etc. Working knowledge of Data Science tools like Dataiku, AWS SageMaker, etc. Additional Information
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. Salary: $82,500-$157,500. 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. 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. Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries
Internet News Note: No amount of pay is considered wages or compensation until earned, vested, and determinable. The amount and availability of any bonus, incentive, benefits, or any other form of compensation 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.
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