Data Scientist II

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, Statistics, Biostatistics

Job Description

AbbVie’s Operations Business Insights (OBI) group is continuously innovating to transform AbbVie operations organization to enable the use of data and analytics to drive world-class innovation, performance, and agility.

We are looking for a Data Scientist with analytics experience for a diverse operations business which includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology. 

The Data Scientist will develop predictive models using statistical and machine-learning methodologies using complex modeling techniques and communicate insights.

Key Responsibilities:

• Consult with business users in the analysis of requirements and recommends solutions which anticipate the future impact of changing business requirements.
• Design and develop 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).
• Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis and predictive modeling.
• Generate reports with findings and communicate these effectively via written, oral and visual Dashboard methods.
• Mentor and coach related team members

 Required Skills:

• Advanced knowledge of statistical and machine learning methods, with expertise in modeling and business analytics
• Experience with statistical languages and packages, such as R, Python etc.
• Experience with enhancing the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model.
• Experience working with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Spark, PySpark and Hive.
• Experience using visualization techniques for presenting data and analysis as dashboard in tools such as Qlik and Custom web based solutions.
• Familiarity with Amazon Web Services, Apache Spark, NumPy, TensorFlow etc.
• Excellent written and verbal communications skills

Qualifications

Qualification:

• Bachelor’s with 5 years of experience or Master’s Degree with 4 years of experience
• Atleast 2 years of demonstrated experience in the relevant areas.
• Knowledge of Agile Project management processes
• Self-starter and should be able to align adapt and manage changing requirements.
• Comfortable working in a fast paced, highly collaborative, dynamic work environment

Additional Desired Experience:

• Experiences in Personalization, Search, Deep Learning, Operations Research
• Working experience of OS Linux/Unix
• Data mining, text mining etc.
• Working knowledge of Data Science tools like Dataiku, AWS SageMaker etc.
• Experience with Manufacturing applications like Applied SmartFactory for predictive advanced real-time factory automation process.