Lead and actively participate in conceptualizing, designing, and deploying machine learning and data science models, algorithms, and predictive analytics.
Collaborate closely with multidisciplinary teams to identify opportunities for data-driven solutions.
Analyze extensive datasets to unveil significant trends, patterns, and insights.
Partner across engineering departments to develop and manage robust data pipelines.
Provide mentorship and guidance to junior data scientists and data analysts.
Present complex findings and insights in a clear, compelling manner to technical and non-technical stakeholders.

Bachelor’s, Master's, or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
8+ years of professional experience in data science or related roles.
Proficiency in Python and data analysis libraries (e.g., NumPy, pandas, scikit-learn).
Strong grounding in statistics and mathematics, encompassing skills in hypothesis testing, regression analysis, clustering, and time series analysis.
Expertise in diverse machine learning techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
Proficiency in working with big data technologies like Hadoop, Spark, or other distributed computing frameworks.
Demonstrated experience processing large volumes of sensor data and applying time series data analysis techniques.
Deep understanding of SQL querying in data warehouses and experience leveraging business intelligence tools (e.g. Tableau, PowerBI, AWS Quicksight).

Staff Data Scientist – Data Operations, Enrichment

Key skills