Excelra - Senior Data Scientist - Artificial Intelligence/Machine Learning/NLP

4 weeks ago


Anywhere in IndiaMultiple Locations Excelra Knowledge Solutions Full time

Job Title : Data Scientist

Location : Remote

Company : Excelra

Excelra, a leader in biopharma data and analytics, uniquely blends scientific understanding with technological expertise. This dual mastery empowers innovative drug discovery and development, transforming research data into actionable insights for groundbreaking discovery.

Job Description :

- As a Data Scientist, you will be responsible for utilizing advanced analytical techniques to extract insights from complex datasets and drive data-driven decision-making across the organization.

- The ideal candidate will have excellent proficiency in Python, data clustering techniques, AI/ML concepts, and experience working with Azure.

Responsibilities :

- Develop and implement machine learning algorithms and models to solve business problems.

- Utilize Python libraries such as NumPy, Pandas, SciKit Learn, and Databricks for data analysis and model development.

- Apply data clustering techniques including k-means, fuzzy c-means, and DBSCAN to identify patterns and trends in large datasets.

- Collaborate with cross-functional teams to design and execute experiments, and analyze experimental results.

- Work closely with stakeholders to understand business requirements and translate them into technical solutions.

- Explore and implement natural language processing (NLP) techniques, particularly Named Entity Recognition (NER), to extract valuable information from unstructured text data.

- Conduct cohort analysis to understand user behavior and identify actionable insights.

- Stay updated with the latest developments in AI/ML technologies and methodologies, and apply them to enhance existing processes and systems.

- Assist in the deployment and maintenance of machine learning models on Azure platform.

Requirements :

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.

- Proven experience working as a Data Scientist or in a similar role.

- Excellent programming skills in Python and proficiency in using Python libraries for data analysis and machine learning.

- Strong understanding of data clustering techniques such as k-means, fuzzy c-means, and DBSCAN.

- Familiarity with AI/ML concepts and experience in building and deploying machine learning models.

- Hands-on experience with Azure services for data analysis and model deployment is highly desirable.

- Nice to have experience with natural language processing (NLP), particularly Named Entity Recognition (NER), and GenAI.

- Ability to communicate complex technical concepts to non-technical stakeholders.

- Strong problem-solving skills and attention to detail.

Nice to Have :

- Experience with cohort analysis techniques.

- Familiarity with GenAI.

(ref:hirist.tech)
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