Senior Data Science Analyst & Project lead

Ontologize, Inc.; France; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

AbbVie France in Boulogne-Billancourt offers a hybrid role for a Senior Data Science Project Lead & Analyst. You will apply data analysis, statistical modeling, and ML to drive actionable insights across departments.

The role requires collaboration with cross-functional teams, mentoring juniors, and implementing data-driven solutions while ensuring governance and reporting. A Master’s degree is required; Ph.D. is a plus, and fluent English is expected.

Qualifications

• Excellent problem-solving skills with the ability to derive meaningful insights from complex data sets.
• Strong analytical thinking to break down business problems and identify data-driven solutions.
• Good command of written and spoken English.

Responsabilités

• Perform exploratory data analysis and identify trends with cross-functional collaboration.
• Analyze outputs of predictive models and optimize business performance.
• Develop dashboards and reports to monitor KPIs and automate reporting.

Connaissances

Analytical thinking

Problem-solving

Communication

Teamwork

Data mining

Formation

Master’s degree

Ph.D. degree (a plus)

Outils

Power BI

Contour

Workshop

Palantir

Description du poste

Boulogne-Billancourt, IDF

1. Function: Commercial
2. Work location type: Hybrid
3. Job Type: Full-time

Job ID: R00143763

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com - www.abbvie.fr. Follow abbvie on LinkedIn, Instagram, X and YouTube.

AbbVie’s mission is to discover and deliver innovative therapies and solutions that address today’s serious diseases and help meet tomorrow’s medical challenges. We strive to make a remarkable impact on patients’ lives across several major therapeutic areas: immunology, ophthalmology, oncology, neuroscience, and virology, as well as aesthetic medicine through the products and services in our Allergan Aesthetics portfolio.

For more information about AbbVie, visit: www.abbvie.com - www.abbvie.fr. Follow abbVie on LinkedIn, X (formerly Twitter), Instagram, and YouTube.

Job Description

In the Business Excellence & ACE transformation function, as a Senior Data Science Project Lead & Analyst, you will leverage your expertise in data analysis, statistical modeling, and machine learning to drive actionable insights and support decision-making across various departments. You will work closely with cross-functional teams to implement data-driven solutions that enhance our business strategies.

Data Analysis:

• Perform exploratory data analysis to identify trends and patterns in close collaboration with the Data Scientist
• Perform advanced analysis on complex datasets to identify trends and patterns that impact business outcomes
• Analyze the output of predictive models to optimize business performance.
• Validate and identify inputs to optimize models using machine learning techniques to ensure accuracy and performance.
• Generate and synthesize insights to feed business and/or address business needs for analytics needs and provide actionable insights.
• Supervise and support junior team members in conducting data analyses.
• Support continuous improvement efforts in data collection, analysis, and reporting within the data analytics community and capitalize on best practices

Collaboration and Communication:

• Work closely with stakeholders to understand their needs and translate business requirements into analytical solutions.
• Present findings and insights to non-technical stakeholders in a clear and concise manner.
• Collaborate with IT teams to integrate data solutions into existing workflows.

Data Management:

• Know data management processes.
• Understand data pipelines and repositories.
• Ensure compliance with data governance and security policies.

Trends

• Stay updated with the latest advancements in data science and machine learning.
• Explore and evaluate new tools, technologies, and methodologies.
• Participate in the design and execution of pilot projects and proof-of-concepts.

Reporting and Visualization:

• Develop dashboards and reports to monitor key metrics and KPIs.
• Use visualization tools to create intuitive and informative visualizations.
• Automate reporting processes to ensure timely and accurate dissemination of information.

Cross-functional collaboration:

• Work closely with sales, marketing, and product management teams to understand their data
• Participate in meetings and discussions to share the results of the analysis and contribute to the development of effective business strategies.

Data Science Project & solution management

• Contribute, on behalf of the affiliate, to the management of DS projects deployed by Europe or Global
• Ensure local/global coordination and coordinates local actors
• Ensure project and solution management at a local level

Qualifications

1. Analytical and problem-solving Skills:

• Excellent problem-solving skills with the ability to derive meaningful insights from complex data sets.
• Strong analytical thinking to break down business problems and identify data-driven solutions.
• Experience with data mining and statistical applications in a business context.

2. Technical Skills:

• Understanding of statistical analysis and modeling techniques.
• Master data visualization tools (e.g., CONTOUR, WORKSHOP, Power BI).
• Master Palantir platform

3. Interpersonal Skills:

• Excellent communication skills, both written and verbal.
• Ability to work effectively in a team environment.
• Strong organizational skills and the ability to manage multiple projects simultaneously.

EDUCATION

• Master’s degree
• Ph.D. degree is a plus
• Communication and cross-functional teamwork:
• MS Office (Excel, Word, Powerpoint, Database...) :
• Oral and written communication :
• Digital & business transformation:
• Strategic recommendations:
• Innovation management:
• Analytics:
• Change management:
• Solution & project management:
• Customer engagement / Go to market:
• Marketing:
• Pharmaceutical environment:
• English:

EXPERIENCE

• A minimum of 6 years of experience as a Data Analyst or in a similar role
• Experience in commercial performance data analysis within the pharmaceutical sector is required.
• Analytical mindset, rigor, and organization
• Writing skills, analytical and synthesis skills
• Good command of written and spoken English
• Autonomous, curious, open-minded, reactive,
• Willingness to learn
• Team player, adaptability
• Excellent communication skills
• Strong work capacity
• Ability to work on multiple projects

Additional Information

Whatever your area of expertise — medical, regulatory, market access, human resources, legal, marketing, communications, and more — you’ll find exciting challenges and opportunities at AbbVie to explore new career paths.

From a practical, day-to-day workplace perspective, AbbVie France’s headquarters is located at 5/13 Boulevard de la République, 92100 Boulogne-Billancourt. The new offices along the Seine host the France and Europe teams, both therapeutic and aesthetics, across two freshly renovated seven-story buildings within a four-building campus.

Each floor will be equipped with meeting rooms and relaxation areas that encourage collaboration and informal exchange. The premises also include outdoor spaces, notably a landscaped inner courtyard and a private rooftop with a view over the Seine, reserved exclusively for AbbVie employees.

Many on-site services are available, including car and motorcycle parking with electric charging stations, bicycle storage, an intercompany restaurant, a gym, and concierge services.

Located in a lively, dynamic neighborhood with many amenities, our new offices are easily accessible by public transportation, with Metro Line 9, RER C, Tram T2, and bus lines 126, 189, and 289 nearby.

Since 2015, AbbVie has been recognized as a Great Place to Work. We are among the top 5 companies where people enjoy working the most. We are also one of the few companies to be distinguished as a “Best Workplace for Women,” which recognizes companies’ ability to address major societal issues such as gender equality.

At AbbVie, we value work-life balance. We offer the possibility of working remotely up to 2 days per week, depending on the terms set out in our collective agreement. Join us and be part of a diverse and collaborative team.

Find out more about employee benefits at AbbVie France by clicking here: https://www.abbvie.fr/rejoindre-abbvie/la-vie-chez-abbvie/avantages.html

You can find us at www.abbvie.com - www.abbvie.fr. Follow abbVie on LinkedIn, X (formerly Twitter), and YouTube.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Recruitment Fraud Alert

We have recently become aware of various recruitment phishing scams targeting job seekers. Please be advised:

• AbbVie will never request sensitive personal information (such as bank account details, social security numbers, or payment of any kind) during the recruitment process.
• If you suspect you have received a fraudulent offer or communication claiming to be from AbbVie, please do not respond, open any attachments, or click on any hyperlinks.

If you have any questions or concerns regarding the authenticity of a communication alleged to have been made by or on behalf of AbbVie, please contact us immediately.

Protect yourself by verifying job offers and communications. Your safety is important to us.

Pay Range: $

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Where We Work

Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.