“I can succeed as a Data Scientist Senior at Capital Group.”

As a Data Scientist Senior, you are a self-starter with a high degree of rigor, organization, and discipline to get things done. You are you able to communicate effectively in delivering complex findings across various audiences. You are an independent, solution-oriented thinker with a strong background processing large data sets, applying analytical rigor and statistical methods to solve emerging business problems. 

The Global Data Science is a key discipline in the Insights & Analytics organization within Capital Group. We are a growing function responsible for driving business value using internal and external data, predictive analytics and data science. We focus on providing innovative data and analytic solutions to support sales and marketing teams within Capital Group.  

Our team consists of highly curious, self-starter practitioners who are natural problem solvers. You are an experienced individual who is passionate about using data to drive business strategy and tactical program recommendations. You are creative at finding new ways to analyze CG’s data assets to bring value to the firm.  

Responsibilities: 

• Leverage data to solve strategic, tactical, structured, and unstructured business problems.  

• Optimize and design territories to maximize sales with limited resources. 

• Design Coverage Strategy for Sales and Marketing teams to target the right clients  

• 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. 

“I am the person Capital Group is looking for.” 

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.  

• Proficient in at least one statistical analysis tool such as Python, PySpark, R, SAS 

• Proficient in SQL 

• Knowledge of common data structures and ability to write efficient code in at least one language (preferably Python/PySpark) 

• Knowledge of visualization tool such as Tableau or PowerBI is a plus

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In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.