Associate Data Scientist
Associate Data Scientist
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Job Description
As an Associate Data Scientist you will support the development of AI solutions by working on data preparation model experimentation and prototyping of LLM-based applications. Youll collaborate with cross-functional teams contribute to documentation and reproducible workflows and stay updated on the latest advancements in generative AI. Under the guidance of senior experts youll help translate business and research questions into data-driven solutions while upholding ethical standards and promoting inclusive practices.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:
- Support in the collection cleaning and transformation of structured and unstructured datasets.
- Assist in developing testing and evaluating predictive and generative models.
- Contribute to the prototyping of LLM-based applications including chatbots copilots or information retrieval system.
- Collaborate with cross-functional teams on applied AI use cases.
- Document workflows results and findings for internal reports or external dissemination.
- Work under the supervision of senior data scientists or AI researchers to execute well-defined tasks.
- Ensure reproducibility and code quality in data workflows and model development.
- Keep up to date with recent advancements in generative AI LLM architectures and agent-based frameworks.
- Translate business or research questions into analytical problems and propose data-driven solutions.
- Maintain ethical standards and data privacy principles in all stages of analysis and modeling.
- Demonstrate a commitment to diversity equity and inclusion through continuous development modeling inclusive behaviors and proactively managing bias.
- All other duties as assigned
Qualifications :
MINIMUM KNOWLEDGE SKILLS AND ABILITIES:
The requirements listed below are representative of the experience education knowledge skill and/or abilities required.
- Programming Languages: Python (mandatory) R SQL; familiarity with Git and Jupyter notebooks.
- Data Analysis & Visualization: Pandas NumPy matplotlib Plotly Excel PowerBI
- Machine Learning: Basic understanding of supervised and unsupervised learning; initial experience with Scikit-learn XGBoost or similar libraries.
- LLM/RAG: Introductory knowledge of transformer-based models (e.g. BERT GPT). Familiar with using LLM APIs (e.g. OpenAI HuggingFace) for text generation classification summarization. Exposure to prompt engineering and fine-tuning workflows. Experience integrating RAG pipelines using tools such as LangChain or LlamaIndex.
- Databases: Familiar with SQL (PostgreSQL MySQL) and possibly exposure to NoSQL systems (MongoDB).
- Cloud & Tools (optional): Exposure to platforms like AWS Azure or GCP; basic use of Docker is a plus.
- Version Control: Basic proficiency with Git/GitHub.
- Strong analytical mindset with attention to detail.
- Comfortable working in cross-functional teams and under the mentorship of senior data scientists.
- Effective communicator of technical findings to both technical and non-technical audiences.
- Fluent English (B2/C1)
PREFERRED QUALIFICATIONS:
- Bachelors or Masters degree in Data Science Statistics Computer Science Engineering Mathematics or related fields.
- Solid foundation in probability statistics linear algebra machine learning and natural language programming.
- Optional coursework or certifications in Data Analytics Artificial Intelligence or Big Data technologies.
- 2/3 years of experience in a related fields.
- Academic projects or thesis involving data preprocessing exploratory analysis model development or language processing.
- Experience presenting insights through dashboards written reports or oral presentations.
Additional Information :
OUR CULTURAL BELIEFS
- Patient Minded I act with the patients best interest in mind.
- Client Delight I own every client experience and its impact on results.
- Take Action I am empowered and hold myself accountable.
- Embrace Diversity I create an environment of awareness and respect.
- Grow Talent I own my development and invest in the development of others.
- Win Together I passionately connect with anyone anywhere anytime to achieve results.
- Communication Matters I speak up to create transparent thoughtful and timely dialogue.
- Always Innovate I am bold and creative in everything I do.
Our team is aware of recent fraudulent job offers in the market misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites unsolicited e-mails or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
From EVERSANAs inception Diversity Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths experiences and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity but also age disability status veteran status sexual orientation religion and many other parts of ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.
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Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
