Senior Data Science Consultant

In this role, you will:

• Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact

• Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations

• Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities

• Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff

• Execute analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains

• Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies

• Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

• This role is for our Channel Sciences team, and you will be responsible for measuring the effectiveness of one of more marketing channels, generating insights and optimizing the marketing initiatives across Lines of Business (LOBs).   

Required Qualifications:

• 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis   

• 4-8 years of experience in Data Analytics, Insight Generation, and/or Data Science   

• 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstratable experience of delivering strategic insights and recommendations.  

• Experience in data analysis, data extraction/manipulation and loading routines using SQL, Teradata, database structures and data warehouses.   

• Proficient in SQL, Python, PySpark for data analysis and usage of libraries   

• Highly effective communication skillset: ability to convey results, concepts, and issues/challenges with us and partners / peers and non-technical marketing audience.   

• Experience with statistics and basic statistical modeling techniques (i.e., regression, decision tree, random forest)   

• Good Story telling competencies to create new and novel analytics approach or data visualizations to deliver Insights to target audience.   

• Self-motivated to identify opportunities and propose solutions to business partners.   

• Languages: SQL, Python, SAS/R, PySpark 

• BI Tools: Tableau/ Power BI/ Excel 

• Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis 

• Experience of working with Machine learning techniques – Segmentation, Regression, Decision Trees, Forecasting, Clustering 

• Financial services experience 

Job Expectations:

• Excellent verbal and written communication.

• Knowledge and understanding of the Financial Services industry. 

• Strong analytical skills with high attention to detail and accuracy