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
Top Skills
What We Do
Catalyzing Innovation in Pharma with Data-driven Digital Products.
The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world.
We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve.
We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That’s why DataZymes.
We’re focused on creating the world’s best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.
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