Data Scientist Senior

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Advanced Analytics Group is a key discipline in the Insights & Analytics organization within Capital Group. We are a growing function responsible for driving business value through the use of internal and external data, predictive analytics and data science. We focus on providing ground breaking data and analytic solutions which is used to support sales and marketing efforts within NAD. Our team is made up of highly curious, exceptionally smart practitioners who are natural problem solvers. You will be experienced with and passionate about using data to drive business strategy and tactical program recommendations. You will be encouraged to identify new areas of value through the use of the firm’s data assets. Are you a self-starter with a high degree of rigor, organization, and discipline to get things done? Are you able to communicate effectively in delivering complex findings across various audiences? We are seeking independent, solution-oriented thinkers with a strong background processing huge data sets, applying analytical rigor and statistical methods to solve business problems we haven't taken on before.

Responsibilities:

• Leverage data to solve strategic, tactical, structured, and unstructured business problems.
• Optimize and design territories to maximize sales with limited resources.
• Analyze advisor, investor and economic trends that impact sales/marketing/business performance and recommend ways to improve outcomes. 
• Build the capability to study and analyze structured and unstructured data, data from multiple internal and external sources to enable pattern seeking and analysis. 
• Craft a pattern recognition process by identifying and integrating internal and external sources of information, analytical tools, and data management and manipulation tools.
• Perform complex data manipulation and analytics, while working with business functions to identify and to respond to complex technical and business problems.
• Interpret and communicate analytic results to analytical and non-analytical business partners and senior managers.

Qualifications:

• Degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, Econometrics or related discipline. Master’s degree highly preferred.
• 4+ years of meaningful experience with a consistent track record of using analytics and large amounts of data to drive significant business impact.
• Passion for learning and innovating new technologies in the intersection of applied mathematics / probability / statistics / computer science. Proficient at translating unstructured business problems into an abstract mathematical framework.
• Expertise in predictive analytics/statistical modeling/data mining algorithms. You will have knowledge/experience in some/all of the following: Multivariate Regression, Logistic Regression, Support Vector Machines, Bagging, Boosting, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, Stochastic Processes. 
• You will be proficient in at least one statistical analysis tool such as R, SAS, and SQL.
• Experience with distributed databases and query languages like Hive/Pig/Sawzall and/or general map reduce computing is a plus. 
• Knowledge of common data structures and ability to write efficient code in at least one language (preferably Java, C++, Python, or Perl).