Machine Learning Operations Architect

Key Skills

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

Job Description

Responsibilities:

• Define and implement data science architectural framework and operating model for predictive and prescriptive analytics.
• Lead and run data science Center of Excellence across AbbVie Commercial business functions.
• Provide technical leadership in feasibility study of data science use cases to business functions and work with developers across teams to design, build and implement data science solutions and capabilities.
• Leverage AI model techniques to model data, predict outcomes, and prescribe actions.
• Conduct POV (Proof of Value) for data science use cases to show the benefits to business leadership.
• Align with data engineering, data integration, data analytics, data science, and data operations work to ensure consistency across workstreams.
• Work with multiple IT functions as an advisor for advanced data technical capabilities in AI, Machine learning/Deep learning, NLP solutions, data visualization, etc.
• Lead technology and services vendors to deliver solutions to business.

Qualifications:

• Bachelor’s Degree 7 years of experience, Master’s Degree 6 years of experience, PhD 2 years of experience in application program development. Work experience in the pharmaceutical industry preferred.
• Strong knowledge of machine learning algorithms for data science, e.g., Linear and Logistics Regression, Decision Tree, Random Forest, Neural Networks, etc.
• Strong knowledge of advanced analytics platform such as Dataiku.
• Strong knowledge of technologies such as Python, R Codes, Tensor Flow, Sage maker, etc.
• Experience in data management, business analysis, and developing analytical models using statistical, machine learning, and data mining methodologies to drive business impact.
• Ability to apply cleansing, imputation, selection, and generalization techniques to create high-quality features for modeling.
• Strong knowledge of industry best practices and technologies for data science.
• Experience in data visualization tools such as Qlik, Power BI, Looker, Einstein is a big plus.
• Self-Starter with having the ability to be innovative, creative, analytical, strategic, passionate.
• Practical experience in architecture roles including architectural principles, helping define the reference architecture, building technology roadmaps aligned with business strategy, and helping to institute governance to ensure alignment of investment to strategy/architecture.
• Communication, leadership, collaboration, creativity, and driving passion for truth in information.
• Entrepreneurial spirit, persistence, and resilience; comfort with and ability to thrive on and drive change in ambiguity.
• Strong problem solving and critical thinking skills that build trust and serve to positively influence partners and teammates.
• Familiarity with technologies like AWS S3, EMR, EKS, Snowflake.
• Provide solutioning and support to vendors, developers, and other technical architects to enable solutions that meet business strategies.
• Strong written and verbal communication, presentation, and technical writing skills, coupled with a strong interest in further developing and integrating enterprise business processes with technology skills.
• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.