Data Scientist (Pharma Marketing & Sales Analytics)

Remote
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AI Summary

Join MoOngy as a Data Scientist to drive business decisions with machine learning and statistical models. Develop and deploy models for pharmaceutical marketing and sales use cases. Collaborate with international teams to translate data into actionable insights.

Key Highlights
Develop and deploy machine learning and statistical models
Perform advanced sales performance, segmentation, targeting, and forecasting analyses
Collaborate with international analytics, marketing, and sales stakeholders
Key Responsibilities
Develop and deploy machine learning and statistical models to support pharmaceutical marketing and sales use cases
Perform advanced sales performance, segmentation, targeting, and forecasting analyses
Translate complex data into actionable insights for commercial and marketing teams
Collaborate closely with international analytics, marketing, and sales stakeholders
Technical Skills Required
Python pandas NumPy SQL data modeling
Benefits & Perks
Full remote work
Opportunity to work on international projects
Continuous learning and training

Job Description


About MoOngy

Founded in 2005, MoOngy is an international group specialized in Engineering and IT, operating across Europe and North Africa.

With a presence in 14 countries, more than 40 entities, and 9,500 talents, we continue to grow every day thanks to one simple thing: people who are genuinely passionate about technology and innovation.


The Role: Data Scientist

🏢🏠 Work Model: Full Remote with occasional travels to Germany

🗣️ Languages: English (C1)

📅 Availability: Starting in early June


We are looking for an experienced Data Scientist with a strong background in Marketing & Sales analytics within the pharmaceutical industry to join an international, business‑critical project.


Key Responsibilities

  • Develop and deploy machine learning and statistical models to support pharmaceutical marketing and sales use cases
  • Perform advanced sales performance, segmentation, targeting, and forecasting analyses
  • Translate complex data into actionable insights for commercial and marketing teams
  • Apply statistical modeling and analytical techniques to drive business decisions
  • Perform data wrangling, transformation, and feature engineering
  • Design, build, and maintain ETL pipelines
  • Work with multiple databases and data sources (strong SQL and data modeling knowledge)
  • Collaborate closely with international analytics, marketing, and sales stakeholders


Key Requirements

  • Proven experience as a Data Scientist in Pharma Marketing & Sales Analytics
  • Strong proficiency in Python
  • Solid experience with pandas, NumPy, and related data analysis libraries
  • Strong foundation in statistics and analytical modeling
  • Experience with data manipulation, large datasets, and ETL processes
  • Good knowledge of databases (SQL and general database concepts)
  • Ability to understand business needs and translate them into analytical solutions
  • Structured, analytical mindset with strong communication skills


Domain Expertise (Mandatory)

  • Hands-on experience in the pharmaceutical sector, specifically in:
  • Marketing analytics
  • Sales analytics
  • Commercial performance analysis
  • Experience in FMCG or e-commerce may be considered


Why Join Us?

  • 🌍 Innovation & Impact: Play a central role in driving the future through creative solutions
  • 🚀 Challenging projects: Modern environments, real impact, zero boredom.
  • 📚 Continuous learning: Trainings, certifications, and structured career growth.
  • 🤝 Team spirit: An international community where collaboration means something.
  • 🌈 Diversity & inclusion: At MoOngy, everyone belongs — no fine print.


Diversity & Inclusion

At MoOngy Group, we are committed to equality and diversity. We foster a safe, inclusive, and respectful environment where everyone has equal opportunities.

We do not discriminate based on age, origin, gender, sexual orientation, disability, or any criterion unrelated to skills and merit.

All candidates with the required qualifications are encouraged to apply.


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