DescriptionAnalytics Analyst
Location:Bangalore
Division:Ipsos Healthcare
Ipsos is one of the worlds largest research companies and currently the only one primarily managed by researchers ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions and presence in 90 markets Ipsos brings together research implementation methodological and subject-matter experts from around the world combining thematic and technical experts to deliver top-quality research and insights. Simply speaking we help the biggest companies solve some of their biggest problems serving more than 5000 clients across the globe by providing research data and insights on their target markets. And were proud to share weve received our Great Place to Work Certification for 2022!
About Healthcare:
The Healthcare Service Line works with Pharmaceutical biotech medical device manufacturers and technology companies throughout the project lifecycle from early-stage strategy to launch of a new product to product optimization. In addition to custom research the healthcare Service Line also works on therapeutic centers of expertise in Oncology Autoimmune Virology and more.
As an Analytics Analyst you will:
- Work closely with team members on design and execution of large-scale modeling efforts including programming statistical analysis and reporting.
- Collaborate on programming new data science products by translating needs identified with clients into analytic frameworks that can be developed into polished applications.
- Build maintain and enhance codebases underlying key applications.
- Support other marketing science analyses for clients as required.
- Communicate with and provide consulting for internal teams and external clients on data models analysis findings process efficiency and marketing science best practices.
Requirements:
- Proficiency in advanced Python and/or R programming including the ability to produce and maintain reusable and modular codebases.
- Bachelors degree
- Comfortable working in a highly collaborative consensus-oriented environment.
- Experience in analytics extracting and surfacing value from quantitative data.
- Strong eye for detail ability to communicate scientific concepts both in written form and verbally and excellent time-management skills.
Pluses:
- Advanced degree (M.S. Ph.D.) is preferred but by no means required.
- Strong knowledge of underlying mathematical foundations of statistics and machine learning
- Experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression clustering/segmentation time-series analysis recommender systems predictive analytics network analysis Monte Carlo agent-based models Bayesian modeling data fusion drivers analysis neural networks and genetic algorithms.
- Working knowledge of SQL
- Prior success designing and deploying machine learning solutions in large-scale production environments.
- Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
- Large dataset manipulation. Experience in distributed storage and computing.
- Experience with JavaScript esp. visualization libraries (e.g. ).
- Experience creating and deploying web applications.
- Experience with Linux server and system administration.
- Experience in the field of Market Research.
Required Experience:
Senior IC