The Data Scientist Senior oversees the activities of junior data scientists and machine learning engineers and provides advanced expertise on statistical and mathematical concepts for the company. Supports relevant stakeholders through quantitative analytics, and the application of appropriate advanced analytics for the business’s key initiatives. Instrumental in helping the business continue its evolution into an analytical and data-driven culture.
##Identify business opportunities through the use of algorithmic, statistical, visualization, and data mining techniques.
##Lead business problem definition explaining to the business the value that advanced analytics solutions will drive, as well as possible complications, needed resources, and who will interact with the predictions or results.
##Lead the development of the data necessary to execute analytics solutions by collating and cleaning data from various sources to create input datasets.
##Support exploratory data analysis and feature engineering to prepare data for modeling.
##Build base models by selecting the appropriate approach per the data and business problem and carefully tune hyperparameters in order to produce the best result.
##Lead the communication of results to technical and non-technical audiences including senior business leaders.
##Produce and disseminate non-technical reports that detail the successes and limitations of each project.
##Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
##Manage and provide coaching and guidance to members of the Data Science team.
##Perform other duties as assigned.
##Master’s or PhD in statistics, data science, computer science, or equivalent.
##7+ years of industry experience in data science, advanced analytics, and/or machine learning.
##Expert in Python and/or R programming (e.g., engineer features, train models, perform ad-hoc simulations, report through charts and summary tables).
##Expert knowledge of common machine learning algorithms (e.g., Logistic Regression, Random Forests, Gradient Boosting, Matrix Factorization, Unsupervised Learning, UCB, Thompson Sampling, Contextual Bandits).
##Expert knowledge of Bayesian statistics (e.g., Posterior updates & Conjugate distributions, Bayesian Networks, Markov Chain Monte Carlo).
##Fluent use of SQL databases & data files.
##Experience with Azure, AWS, or similar cloud-based architecture solutions.
##Experience deploying data science projects to production at scale.
##Experience with code management tools (e.g. Git, SVN) and DevOps tools (e.g. Docker, Bamboo, Jenkins).
##Experience with parallel frameworks (e.g., Hadoop, Spark) preferred.
##Experience designing architectures and technical specifications with IT teams preferred.
##Self-motivated, able to work independently with limited guidance, result oriented, strong problem solving skill and business understanding.
##Self-starter, self-managed, quick learner, problem-solver with a positive and collaborative attitude.
##Willingness to coach and mentor others to build their capacity and skills for data science and machine learning.
Allianz Partners is a world leader in B2B2C insurance and assistance,specializing in the areas of international health & life, automotive, assistance and travel insurance. Operating in over 76 countries, Allianz Partners offers global solutions that are redefining help, going beyond traditional insurance to help and protect customers wherever they are and whenever they need it. Our innovative experts deliver future-ready, high-tech, high-touch products and services through four commercial brands: Allianz Assistance, Allianz Care, Allianz Automotive and Allianz Travel. We have over 19,000 employees who handle more than 54 million cases each year, motivated to go the extra mile to help customers and employees around the world. If this sounds like you, come and join us!