Associate Data Scientist
Novixo AI
Greater Delhi Area0–2 yrs1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 2 years · Bachelor's degree
- Must know
- Machine learningStatisticsData visualizationStakeholder managementData analysisPython
- Work
- On-site in Greater Delhi Area
- Pay
- Not stated by the employer.
- Skill demand
- Data visualization38%Statistics33%Stakeholder management33%Machine learning10%of 21 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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About the Role
The Associate Data Scientist will work full time on-site in the Greater Delhi Area, collaborating with product, engineering, and pharmacovigilance teams to develop and refine data-driven solutions.
Key Responsibilities
- Cleaning and analyzing structured and unstructured safety data.
- Building and evaluating statistical and machine learning models.
- Supporting the improvement of AI case intake and triage workflows.
- Designing robust experiments.
- Generating performance metrics.
- Creating clear data visualizations and reports for stakeholders.
- Contributing to model monitoring, documentation, and continuous optimization to maintain high accuracy and regulatory-compliant outputs.
Requirements & Tech Stack
- Strong foundation in Data Science and Statistics, with the ability to design experiments and build predictive or classification models.
- Proficiency in Data Analytics and Data Analysis for cleaning, transforming, and interpreting large, complex datasets.
- Experience with Data Visualization tools and techniques to present insights clearly to technical and non-technical stakeholders.
- Working knowledge of programming languages commonly used in data science (such as Python or R) and familiarity with SQL.
Qualifications
- Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline).
- Ability to work collaboratively in cross-functional teams and communicate findings in a clear, structured manner.
- Interest in healthcare, life sciences, or pharmacovigilance; prior exposure to regulated industries is an advantage.
- Comfort with fast-paced startup environments and a willingness to learn new tools and methods as needed.