Associate Data Scientist

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. You’ll 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, you’ll 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:

• Bachelor’s or Master’s 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 patient’s 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 EVERSANA’s 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 one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

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