Data Scientist

Data Scientist

This job is no longer open
Why TrueAccord?

TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process.

With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries.

Your Role:

TrueAccord is looking for a data scientist to join its growing Data Science team. 

You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.

As a team member, you will build machine learning models that optimize and elevate our automated debt collection strategy. You will work closely with engineers and product team partners to identify and prioritize machine learning-based projects destined to have the highest impact on external and internal customer experience.

We’re looking for a driven, self-sufficient data scientist who can run with a project from conceptualization to production. You should have an excellent grasp of core machine learning techniques and a product-focused mindset. You should be passionate about using data to create positive customer experiences and determined to have a huge impact at TrueAccord.

What you'll do:

    • Develop and maintain machine learning algorithms
    • Apply data and algorithmic thinking to address business and domain problems
    • Work cross-functionally to identify high impact business needs and translate them into technical requirements
    • Manipulate and curate data sets for analysis and model training

You have:

    • Advanced degree in statistics, applied mathematics, computer science, or equivalent 
    • Minimum 1-3 years of data science experience, with focus in machine learning
    • Strong foundational skills: Python, pandas, SQL
    • Hands-on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
    • Ability and desire to educate the rest of the company in data science concepts and techniques

You might also have:

    • Strong cross-functional communication skills with technical and non-technical partners
    • Solid understanding of experiment design
    • Experience with natural language processing techniques
    • FinTech background
Benefits, Perks, and Culture

- Everything you need to work remotely
- Work with talented and motivated people in a fast-paced, mission-driven environment
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, flexible work from home
- Unlimited PTO
- Transportation benefits
- Paid time off to do volunteer work in your community!

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 
This job is no longer open
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