Data Scientist – Distributed Cloud

About the role

We are seeking a curious and analytical Data Scientist to join our multiple teams and projects. This role focuses on uncovering actionable insights, building sophisticated predictive models, and driving strategic decision‑making across the business.

Key responsibilities

• Design and develop statistical models and machine‑learning algorithms (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.

Required profile

• 3+ years of professional experience as a Data Scientist, Applied Scientist, or Advanced Data Analyst.
• Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, Computer Science, Mathematics, or Economics (highly valued).
• Strong analytical and critical‑thinking skills with the ability to frame business questions as data problems.
• Proficiency in Python or R for statistical modeling and data analysis, and strong expertise in SQL.
• Experience with data‑visualization tools (e.g., Tableau, Power BI, Matplotlib) for effective storytelling.

Required skills

• Python
• R
• SQL
• Tableau
• Power BI
• Matplotlib
• AWS, GCP or Azure cloud platforms
• Apache Spark
• MLOps (model deployment and monitoring)