Data Scientist - NLP

Key Skills

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

Job Description

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Responsibilities

• Partner with the business/research teams to identify, scope, and execute analytics efforts that answer business/scientific questions, solve business/scientific needs, and add value
• Maintain a broad understanding of the pharmaceutical business and be fully engaged with the business/research team, bringing an objective voice to the table, and facilitating decisions grounded in data
• Collaborate with other analytics team members to review and provide feedback on the analytics being done, and be willing to seek feedback from other team members about your own work
• Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
• Collaborate with others to design, implement, and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
• Evaluate and benchmark the performance of different NLP systems and provide guidance on metrics and best practices.
• Perform cutting edge research in an area of data science and natural language processing

Basic Qualifications

• PhD in Statistics, Econometrics, Operations Research, Computer Science, Engineering, Mathematics or closely related field or master’s degree in same fields with at least 6 years of relevant experience
• Deep and broad knowledge of data mining methods and NLP and NLG techniques
• Proficiency with relevant programming languages (such as R, Python, SQL, Java, C++, etc...)

Additional Skills/Preferences

• Agility and flexibility to work with very diverse problems and business partners
• Ability to work with diverse data sources and data types
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Strong leadership and communication skills
• Publications in leading journals or conferences
• Advanced knowledge of machine learning methods in processing unstructured data
• Experience in deep learning frameworks
• Experience in developing and deploying machine learning models on cloud platform such as AWS etc.

For internal employees, if you are currently in a technical path role, but outside of the posting band, you may apply. You will be hired at your current level. For example: Current P4 (tech ladder), Posting R1-2 tech ladder, hire will occur at P4

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).