waypointjobs

LendingPoint

Lead Data Scientist - DTC

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

At LendingPoint, we believe that everyone deserves to feel the power of possibilities. As an online fintech company, we’ve created advanced consumer, small business, and merchant point-of-sale lending solutions to unlock access to affordable loans and empower those working to build their financial potential. By creating technology that sees your potential, we’re driving a better lending and borrowing experience by finding more reasons to say “yes.”

More than just a job, LendingPoint is an exciting career choice where you’ll bring your expertise and experience to a talented team focused on fostering positive new customer experiences that inspire loyalty.

Are we speaking about you? Then keep reading.

What’s In It For You?

Competitive Base Salary

Excellent Benefits Package That Includes: Medical/Dental/Vision, 401(k) match, Paid Holidays, and more!

Team Oriented Fast-Paced Fun Environment

Dedicated and experienced Management Team

On-going training and investment in our employees

What You’ll Do Day to Day:

LendingPoint is looking for a Lead Data Scientist who can efficiently lead and evolve our direct mail and email program. This person will build datasets and dashboards to drive analytical insights, develop and implement predictive models for direct mail and email targeting strategies, support planning and execution of this program to meet acquisition goals.

The ideal candidate will have experience working with B2C FinTech models and have the ability to contribute new thinking to position the LendingPoint brand and products to achieve both short and long-term goals. They will have the skill set to manage this channel alongside their counterparts to develop an integrated marketing plan that meets sales and profitability expectations.

ESSENTIAL JOB FUNCTIONS:

Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning

Create reports and dashboards to closely monitor performance metrics and provide insights

Automate datasets, production process and reporting to solve for analytical needs

Create test plans to drive growth in applicants and customers

Create campaign performance measurement framework

Execute plans to drive deeper engagement, loyalty and lifetime value

Collaborate with web and digital marketing peers to enable cross channel campaigns

Maintain ROI goals, CAC and other performance benchmarks

MINIMUM QUALIFICATIONS:

Bachelor’s Degree in a quantitative or related field (e.g., Mathematics, Data Science, Statistics, Economics, Finance, etc.); Master’s degree preferred

Minimum of two years’ experience, preferably in integrated marketing or analytics roles

Experience/knowledge of personal lending, banking or fintech

Ability to use data and best practices to think critically, problem-solve, and recommend solutions

Experience with statistical modeling, creative testing and advanced analytics

Proficient in SQL, Python, etc.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

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