Associate Consultant - (3 -5 years Bengaluru) MMX/Regression/linear/Advanced Analytics

Company Description

About DataZymes:

About us: Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments. Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Business Intelligence and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap.

Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving nonlinear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions and are working with some marquee names in the US healthcare industry

Job Description

JOB LOCATION: Bengaluru

 QUALIFICATION REQUIRED: B. Tech/B.E. from reputed institutes

EMPLOYMENT TYPE: Full Time

EXPERIENCE REQUIRED:

3-5 years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.). Knowledge of promotional channels and digital analytics. Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings. Familiarity with the application of analytics to sales, marketing, or managed markets problems in the pharmaceutical industry

ROLES AND RESPONSIBILITIES:

•  Conduct simple and advanced data analyses to help clients make good business decisions.
• Work on project leadership to define project scope.
• Guide the team on a day-to-day basis to meet the project timelines. 
• Work with the client to gather the right datasets needed for the analysis. • Active participation in data cleaning and insights generation
• Storyboarding the insights so that it is ready to be presented to the client.
• Apply advanced statistical, econometric and optimization models and algorithms to real-world business problems. 
• Develop new statistical models as well as provide analysis using existing models.
• Maintain the highest standards to follow the best practices and trending analytics in pharma domain. 
• Work with internal business teams to understand product features, requirements and use cases.

· Must Have Skills 

• Strong understanding of AI and ML algorithms with prior experience of having developed and maintained them for clients. 
• Understanding of different healthcare secondary and primary data sources in-depth • Software’s – R, Python, SQL 
• Marketing Mix, Test and Control, Investment Optimization, AB testing
• Strong verbal and written communication skills
• Sense of ownership and urgency to the tasks
• Setting internal deadlines for the team to meet the project timelines.

Qualifications

B. Tech/B.E. from reputed institutes

Additional Information

Good to Have Skills

 Understanding of a pharma life cycle including the development, regulatory and commercial aspects of global markets

• Knowledge of Patient data • Advanced ML algorithms like CNN, TCN, LSTM etc.

• Understanding of LLM models