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

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:

• 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.

• 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  

• 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/business audience through executive ready presentations.

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

• 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

• Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.

• Strong conceptual and quantitative problem-solving skills

• Excellent written and oral communication skills, and interpersonal skills.

• Tenacity and persistence to ensure compliance with tight deadlines