Distributed Cloud | Data Scientist

We are seeking a curious and analytical Data Scientist to join our several teams and projects. This role is dedicated to uncovering actionable insights, building sophisticated predictive models, and driving strategic decision-making across the business. You will be instrumental in translating complex data into clear, compelling narratives and measurable results.

Key Responsibilities:

• Design and develop statistical models and Machine Learning algorithms (e.g., classification, regression, clustering) to solve complex business problems.

• Conduct extensive data exploration, visualization, and hypothesis testing to identify trends, opportunities, and key performance indicators.

• Translate analytical findings into clear, compelling, and actionable stories for stakeholders, driving the adoption of data-driven strategies.

• Collaborate with Data Engineers to ensure the availability and quality of data required for advanced analysis and modeling efforts.

• Write clean, efficient code (primarily Python or R) for data manipulation, analysis, and model development.

• Continuously research and apply new methodologies and technologies in statistics, machine learning, and advanced analytics.

Qualifications

• 3+ years of professional experience as a Data Scientist, Applied Scientist, or Advanced Data Analyst.

• Mandatory proficiency in Python or R for statistical modeling and data analysis, and strong expertise in SQL.

• Solid theoretical and practical knowledge of statistical modeling, machine learning techniques, and experimental design.

• Demonstrable experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) for effective storytelling.

• Excellent analytical and critical thinking skills, with a proven ability to frame business questions as data problems.

• Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, Computer Science, Mathematics, or Economics is highly valued.

Highly Valued Skills:

• Experience with Cloud platforms (AWS, GCP, or Azure) and their respective data science environments.

• Familiarity with distributed computing frameworks like Spark for handling large datasets.

• Practical experience in putting models into a production environment (MLOps).

• Knowledge of specific domain areas (e.g., finance, marketing, healthcare) relevant to our business.

Additional Information

Devoteam Group works for equal opportunities, promoting its employees based on merit, and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism, and excellence of our organization. All of our vacancies are open to people with disabilities.