Vice President - Customer Segment Analytics Data Science Lead
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
Responsibilities
- Perform deep dive analytics to understand the impact of drivers on customer growth & engagement for the segment, performance & develop recommendations and strategies to maximizing business growth and financial profitability
- Interact regularly with the segment team to understand goals, priorities & play the role of an effective partner to devise strategies with customer focused analysis to realize growth opportunities
- Leverage advanced analytical techniques to develop strategies that can be leveraged to improve engagement & customer retention
- Use 3rd party data sources like Bureau data, survey data & other tools to profile & develop hypotheses around the customer behavior at granular segments
- Develop the OKRs to measure & inform the performance at segment level
- Self-directed Leader partners with to gain consensus with stakeholders on a robust data and analytic road map. Exceptional influencing and communication skills to executive audiences.
- Proven Manager, capable of overseeing diverse teams
Required Qualifications, Skills and capabilities:
- Bachelor's degree in a business, finance, economics, engineering, mathematics, or related quantitative field
- 6+ years of related experience within marketing, finance or risk analysis; experience evaluating complex business problems, data analysis and devising recommendations
- Deep understanding in foundational theories in Machine Learning is expect - e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, neural network)
- Experience with scaling models for large consumer bases
- Exposure in following areas is expected – NLP, Recommender Systems, Inferential Statistics.
- Structured thinker with passion for analyzing results and digging deeper. Strong data story telling skills to deliver analytical insights to stakeholders & Ability to communicate effectively with executives, business partners, and technical resources in analytics and data management.
- Proficiency writing code to query data using SQL, working knowledge of database environments to perform data analysis in Oracle and/or Unix and/or Teradata environment
- Process- and controls-oriented leader, maintains a strong system of internal governance and controls
Preferred Qualifications, Skills and capabilities:
- Understanding of the key drivers within the credit card P&L is preferred.
- Skills in other languages such as R, Python is not a must but desired & knowledge of tools like Tableau, Alteryx, AWS, Snowflake.
- Hands on experience in AWS ML allied tools i.e. Sagemaker, Lambda, API Gateway, EMR, GPU enabled AMIs, Transcribe etc.
- Exposure to Model Quantization, Model Explainabilities, Model Monitorin
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Causal inference Classification Clustering Data analysis Data management Econometrics Economics Engineering Finance GPU Lambda Machine Learning Mathematics NLP OKR Oracle Python R Recommender systems SageMaker Snowflake SQL Statistics Survey data Tableau Teradata
Perks/benefits: Career development Startup environment
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