Data Scientist II, BIA GPS India Operations - Data Engineering & AWS

Summary: The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The role provides hands-on technical expertise to develop, deploy, and maintain descriptive and AI/ML pipelines, solutions, and products in furtherance of the overall GPS digital strategy. This individual will also be responsible for providing ongoing technical support with business operations. Roles & Responsibilities: Work with all BIA GPS Teams (US, EU, India) to develop, implement and enforce best practices in building scalable data pipelines and collaborate with team to deliver on pipeline projects. Work cross functionally with all BIA GPS teams and business stakeholders to rapidly pilot and deploy a wide variety of descriptive and ML/AI solutions. Hands-on design, deployment, and maintenance of advanced, automated data pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Responsible for building upon existing ELT pipelines to optimize them for analytical purposes. Responsible for troubleshooting breaks in data pipelines and models. Develop a close working relationship with BIA data science teams to facilitate and implement best practices relating to data engineering, analytical engineering, machine learning engineering and MLOps. Support with migration and transition activities related to BIA GPS data and analytics and solve complex architecture problems involving the right teams to discuss solution. Collaborate with functional team members for testing upgrades and implementations. Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit, Aera etc. Align BIA GPS tech stack with enterprise tech stack and ensure alignment with IT compliance standards. Work hours that provide sufficient overlap with standard east coast US working hours. Skills and competencies: Bachelor's or Master's degree in an analytical, engineering, operations research or scientific discipline. Hands on analytical engineering / data engineering experience 3- years. Experience with designing & deploying machine learning models in test & production environments. Expert level in Python /R, SQL, dbt, and Tableau. Expert with Github . Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. Experience with cloud-based environments ( AWS , Azure, Domino etc.). Experience with Database Management (DBM). Experience with MLOps. Possess technical understanding of analytics tools, dev-ops environment in AWS & Multiverse, and SAP applications (SCM, ECC, BW, ATTP). Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift , PostgreSQL, CDP Impala, Athena ). Proven experience in leading large, complex projects with multi-function team members. Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Experience in the biopharma industry a plus.

Location: Hyderabad, IN

Posted Date: 9/2/2024