Visual Data Scientist

Responsibilities:

1. Lead a diverse group of talented visual data scientists to apply their skillsets in diverse areas such as scientific publications, discovery and business development.
2. Partner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.
3. Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.
4. 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.
5. Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
6. Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions, including applications in explainable AI.
7. Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science.
8. Ability to influence people to adopt innovative data visualizations and methods.
9. Communicate results effectively using data story telling techniques

Basic Qualifications:

1. PhD in Computer Science, Statistics, Biostatistics, Engineering) or a related field OR
2. M.S. in one of the above fields plus with 2+ years of experience (excluding internships) in the industry OR
3. B.S. in one of the above fields plus with 7+ years of experience (excluding internships) in the industry, including people management experience,
4. Proficiency with deploying web-based data visualization using d3, HTML and CC.

Additional Skills/Preferences:

1. Combined degree with Journalism.
2. Working knowledge of scripting languages like R and Python and / or dashboarding platforms like Power BI for quick prototyping.
3. Understanding of advanced analytics in statistics and machine learning
4. Advanced knowledge of visual analytics algorithms like force directed graph and network diagrams.
5. Proficiency with grammar of graphics and data story telling
6. Internal or external consulting experience
7. Agility and flexibility to work with very diverse problems and business partners
8. Ability to work with diverse data sources and data types
9. Self-management skills with a focus on results for timely and accurate completion of competing deliverable

Additional Information:

1. When applying please attach or submit a link to your portfolio of work
2. You will be on a hybrid work schedule in Bengaluru, India.