Job description
Job Title: Data Scientist
Location: Hybrid/WFH (Work from Home)
Experience: 4 - 5 years
Job Description:
We are seeking a skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in Data Science and Machine Learning with specific exposure to Dataiku and longitudinal/transactional patient-level data (APLD) in the pharma domain.
Key Responsibilities:
- Dataiku Expertise: Utilize Dataiku, a fully hosted SaaS AI platform, to automate data preparation, pipeline development, statistical analysis, and model creation. Develop custom applications on the Dataiku platform to address complex data challenges.
- APLD Experience: Work with longitudinal/transactional patient-level data (APLD) to derive actionable insights within the pharmaceutical domain. Apply advanced analytical techniques to understand trends, patterns, and anomalies in the data.
- Data Modeling & Analysis: Develop predictive models, perform statistical analysis, and create machine learning algorithms to solve business problems. Translate complex data into meaningful insights.
- Collaboration: Work closely with business analysts, data engineers, and other stakeholders to understand requirements and deliver data-driven solutions. Ensure alignment of data strategies with business objectives.
- Reporting: Present findings and insights to stakeholders using data visualization tools and platforms. Create comprehensive reports that effectively communicate analysis results.
Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience: 4-5 years of experience in Data Science, with a strong focus on machine learning, statistical analysis, and data engineering.
- Technical Skills:
- Proficiency in Dataiku, including hands-on experience in building data pipelines, automating workflows, and developing machine learning models.
- Strong understanding of longitudinal/transactional patient-level data (APLD) within the pharmaceutical industry.
- Experience with programming languages such as Python, R, or SQL.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
- Domain Knowledge: Prior experience in life sciences services companies (e.g., GE Healthcare, IQVIA, WNS, Accenture, Indegene, etc.) with exposure to patient-level data.
- Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a hybrid work environment.
About Quation
We specialize in delivering synergistic solutions that enable businesses to make informed decisions. With 200+ years of cumulative experience, our leaders strive to create customized solutions that empower Fortune companies to make better decisions. We deliver tangible and measurable benefits through advanced analytics solutions.
Quation is a forward-thinking organization that is committed to delivering high-quality services to its clients. We are known for our expertise in specialized fields viz. Technology, Supply Chain Analytics, Data Engineering, Data Warehousing, and Marketing Analytics.
Our goal is to help businesses achieve their objective by providing them with the tools, information, and resources that they need to succeed. Quation provides exceptional customer service and builds long-term relationships.
Data is an asset! When harnessed, it effectively enhances performance, fosters efficiency, and accelerates growth in real-time.
At Quation, we believe that the field of analytics is constantly evolving. To stay abreast with the latest trends and technologies, we make significant investments in learning and development.
With deep domain expertise and core technical knowledge, our products and services provide our customers with a vital competitive edge. We create a world where understanding the complex intricacies of businesses becomes easier.
Our USP is our ability to leverage artificial intelligence to help businesses solve complex problems and make data-driven decisions. We analyze vast amounts of data quickly and accurately, providing insights that would be difficult or impossible to obtain through traditional methods.
We help businesses automate processes, improve efficiency, reduce costs, and gain a competitive advantage in the marketplace.
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