Data Science Analyst at EVERSANA

Rende, Calabria, Italy -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, Pandas, NumPy, Matplotlib, Jupyter Notebooks, Git/GitHub, PowerBI, Tableau, Excel, Scikit-learn, XGBoost, LLMs, LangChain, LlamaIndex

Industry

Advertising Services

Description

Company Description EVERSANA INTOUCH® is a global, full-service marketing agency network serving the life sciences industry, and is the first – and only – agency network to be part of a fully integrated commercialization platform through EVERSANA®. We provide next-generation creative and media services, enterprise solutions and data analytics services for clients. We get fired up when people talk about getting—and staying—healthy. That’s where we find our inspiration: in the very human experiences of patients, doctors, and even each other. Then, we collaborate on ways to make caring for one’s health more achievable, connecting patients and physicians with the information and tools they need. We embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. Job Description THE POSITION: As a Data Science Analyst, you will support the team by transforming data into actionable insights. You will work with structured datasets, build dashboards, and assist in the development of analytical solutions. This role requires a strong foundation in data manipulation and visualization, and a collaborative mindset. ESSENTIAL DUTIES AND RESPONSIBILITIES: Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: Collect, clean, and transform structured datasets. Develop dashboards and reports using PowerBI, Tableau, or Excel. Perform exploratory data analysis and basic statistical evaluations. Collaborate with cross-functional teams to support data-driven decisions. Document workflows and findings in a reproducible format. Ensure data quality and compliance with privacy standards. Stay updated on best practices in data visualization and reporting. Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias. All other duties as assigned EXPECTATIONS OF THE JOB: Travel (not frequent) Hours (minimum 40 Hours per week) Must be able to commute to the Rende office. Qualifications MINIMUM KNOWLEDGE, SKILLS AND ABILITIES: The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. Proficient in Python, R, and SQL for data manipulation and analysis. Familiar with libraries such as Pandas, NumPy, and Matplotlib. Comfortable using Jupyter notebooks and version control tools like Git/GitHub. Able to create clear and interactive dashboards using PowerBI, Tableau, or Excel. Understands best practices in visual storytelling and data presentation. Strong understanding of supervised learning techniques and initial experience with Scikit-learn or XGBoost. Introductory exposure to LLMs (e.g., GPT, BERT) and tools like LangChain or LlamaIndex. Familiar with relational databases (PostgreSQL, MySQL) and introductory knowledge of NoSQL systems (MongoDB). Exposure to cloud environments such as AWS, Azure, or GCP is a plus. Strong attention to detail and analytical thinking. Effective communicator with the ability to explain technical concepts to 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. Minimum 5 years of experience in a related field. Experience presenting insights through dashboards, written reports, or oral presentations. Additional Information 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. Follow us on LinkedIn | Twitter Department: Digital & Technology Job Family: Analytics

Responsibilities

The Data Science Analyst will be responsible for transforming data into actionable insights by collecting, cleaning, and transforming structured datasets. This role involves developing dashboards, performing exploratory data analysis, and collaborating with cross-functional teams to support data-driven decisions.