Data Scientist

We are seeking a highly motivated Data Scientist to support Research & Development (R&D) initiatives by applying advanced analytics, statistical methods, and machine learning techniques to solve complex engineering and scientific challenges. The successful candidate will collaborate with cross-functional teams to transform data into actionable insights, enable data-driven decision-making, and contribute to the development of innovative technologies and products.

Position Summary :

• We are seeking a highly motivated Data Scientist to support Research & Development (R&D) initiatives by applying advanced analytics, statistical methods, and machine learning techniques to solve complex engineering and scientific challenges. The successful candidate will collaborate with cross-functional teams to transform data into actionable insights, enable data-driven decision-making, and contribute to the development of innovative technologies and products.

Key Responsibilities :

• Conduct data-centric evaluations, analytical studies, and statistical analyses to support R&D projects, technology development, and validation activities.

• Collaborate with multidisciplinary R&D teams to translate engineering and scientific challenges into robust analytical and data-driven solutions.

• Develop scalable data pipelines and perform data processing, exploration, and advanced analytics using Cloud and Big Data technologies.

• Design and deliver clear, impactful visualizations, dashboards, and analytical reports to effectively communicate insights to both technical and non-technical stakeholders.

• Ensure data quality, integrity, consistency, and traceability by implementing sound data management and governance practices.

• Apply statistical analysis, machine learning, and predictive modeling techniques to generate actionable business and technical insights.

• Contribute to the continuous improvement of data science methodologies, analytical frameworks, tools, and best practices within the R&D organization.

• Support the deployment, automation, and maintenance of analytical models and solutions where applicable.

• Promote knowledge sharing, documentation, and reproducible analytics across project teams.

Qualifications :

Education

• Bachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Physics, Engineering, or related quantitative discipline.

  Experience

• Experience working in research, engineering, manufacturing, electronics, or other technology-driven environments with a demonstrated focus on delivering measurable business value.

• Proven experience managing end-to-end analytics projects, including:

  • Data acquisition and ETL processes

  • Data preparation and feature engineering

  • Statistical analysis and machine learning model development

  • Model deployment and automation

  • Results visualization and stakeholder reporting

• Familiarity with Agile methodologies and collaborative project delivery.

• Primarily an individual contributor with the ability to lead workstreams, mentor junior colleagues, and influence cross-functional teams without formal authority.

• Experience collaborating with global and multicultural teams across multiple locations and time zones is advantageous.

  Technical Competencies

• Strong foundation in statistics, machine learning, and predictive analytics, including:

  • Regression and classification

  • Time-series analysis

  • Clustering techniques

  • Optimization methods

  • Experimental design

  • Model validation and performance evaluation

• Proficiency in structured problem-solving methodologies (e.g., CRISP-DM), hypothesis-driven analysis, reproducible analytics, peer review, and documentation.

• Experience implementing data quality controls, governance standards, and traceability practices.

• Strong programming skills in Python (Pandas, NumPy, Scikit-learn) and/or SQL.

• Experience with Big Data technologies such as Apache Spark or Databricks is preferred.

• Familiarity with Cloud platforms including Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) is an advantage.

• Working knowledge of Git, APIs, Docker, and CI/CD concepts is desirable.

• Experience developing dashboards and visualizations using Power BI and/or Tableau.

  Core Competencies

• Excellent analytical thinking and structured problem-solving skills.

• Strong communication and data storytelling abilities, with the capability to present complex analyses to diverse audiences.

• Effective stakeholder management and cross-functional collaboration skills.

• Curiosity, continuous learning mindset, and adaptability in dynamic R&D environments.

• Ability to translate engineering and scientific problems into practical analytical solutions.

• High level of professionalism, integrity, and confidentiality when handling sensitive information.

• Proactive mindset focused on continuous improvement and operational excellence.

• Willingness to travel occasionally, as business needs require.

  Language Requirements

• Fluent English (spoken and written).

• Additional local language(s) will be considered an advantage.