- Company Name
- INFORCA S.A.M
- Job Title
- DATA SCIENTIST F/H
- Job Description
-
Job title: Data Scientist
Role Summary:
Drive data-driven decision making by cleaning, analyzing, modeling, and visualizing data. Build and deploy predictive models and machine learning algorithms to solve business challenges and deliver actionable insights to stakeholders.
Expectations:
• Minimum 5 years of experience as a Data Scientist in demanding environments.
• Strong command of programming (Python or R) and data science libraries (pandas, scikit‑learn, TensorFlow, PyTorch).
• Proficiency with SQL, NoSQL, and time‑series databases; experience in real‑time data processing.
• Advanced knowledge of statistical modeling and machine learning techniques.
• Skilled in data visualization tools (Tableau, Power BI, or Python libraries).
• Excellent analytical, synthesis, and problem‑solving abilities.
• Strong communication in French (written and oral).
• Self‑directed, organized, collaborative, and able to handle high workload.
Key Responsibilities:
1. Data preparation – cleanse, structure, and normalize data to ensure quality and reliability.
2. Exploratory data analysis – use descriptive statistics and visualizations to uncover trends, patterns, and anomalies.
3. Model development – design, build, and deploy statistical and machine‑learning models tailored to business questions.
4. Pipeline engineering – create and optimize data pipelines for acquisition, transformation, and delivery of data for analysis.
5. Results communication – produce clear, impactful reports and visualizations that support data‑based decision making.
Required Skills:
- Programming: Python or R – pandas, NumPy, matplotlib, seaborn, scikit‑learn, TensorFlow, PyTorch.
- Statistical & ML techniques – regression, classification, clustering, time‑series forecasting, ensemble methods, deep learning.
- Databases: SQL (PostgreSQL, MySQL, etc.), NoSQL (MongoDB, Cassandra), time‑series (InfluxDB, TimescaleDB).
- Data visualization: Tableau, Power BI, Plotly, Altair, or similar.
- ETL & pipeline: Airflow, Luigi, Spark, Kafka, or equivalent.
- Communication: technical writing, presentation, French language proficiency.
- Soft skills: analytical thinking, synthesis, problem solving, initiative, teamwork, autonomy, resilience.
Required Education & Certifications:
- Advanced degree (Bachelor’s, Master’s, or Ph.D.) in Information Systems, Computer Science, Statistics, Mathematics, or related field with a focus on Data Science.
- Professional certifications in data science, machine learning, or relevant technologies are a plus.