$225K — $275K *
Industry: Financial Services - Commercial Banking
As a Data Scientist you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing technologies and machine learning methods that operate across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The mission of this role is to drive the continual improvement ofthe Marketing Data Science division. As part of the leading machine learning group, defining the next generation of banking, you will drive innovation that puts the most relevant ads in the market with the right audiences and continually optimizes budgets to make marketing more efficient. In this role, you’ll be central to determining our vision and strategy for continuously learning model applications in marketing that allow the Bank to reach the widest audiences possible with reasons to buy our top-rated products.
The Marketing Data Science team has a relentless focus on the craft of data science spanning statistics, machine learning, and distributed computing domains. Our relentless innovation is aimed towards continually improving our ability to find relevant messages for audiences, while tuning our budget to maximize efficiency. You will be working with cross functional teams including marketers, engineers, and business analysts to identify the biggest opportunities and deliver models to make the most of them. This is core to growing the Bank and delivering value to customers and future customers alike through our products.
In this role, you will:
The Ideal Candidate is:
Visa Candidate Considered: Yes
Base Salary - $230,000 to $280,000
Bonus Eligible - Yes
7+ to 10 years experience
Seniority Level - Other
Management Experience Required - Yes
Minimum Education - Bachelor's Degree
Willingness to Travel - Occasionally
Ideal Candidate, For Retail Banking line of business
Ideal candidate will have:
- At least a Masters in Computer Science or Statistics
- Digital Media background
- Experience in media optimization, targeting (customer acquisition), and valuations
1st priority- Targeting strategy or propensity models exp. EX: If I have an offer, who should I send it to? You build models that score everyone to understand the highest propensity to respond to our advertising? Rank people (card population, or existing savings customer, or prospects (using third party data). We also are trying to understand the value of the customer (how good are they) What information is ok to use (ethically, or disparately- ensuring you treat people equally)
2nd priority- Media optimization exp. Marketing team has $ to spend on next campaign- how do you decide where to spend and how to maximize reach MEDIA OPTIMIZATION- optimizing at the highest level how to spend the money (types- media mix models, multi touch attribution models (also, then how do you figure out which channel gets credit for the eventual contact?)
3rd priority - Valuations/Customer Lifetime value We also are trying to understand what the value of the customer is(how good are they as a target) and also factoring in what information is ok to use (from an ethics standpoint and ensuring we are not treating people disparately. Ensuring that we are being fair- you can build sound valuation models. Then you can build good BID OPTIMIZATIONS if you have propensity and valuations figured out.
Valid through: 6/16/2021
$200K — $250K *