Data Science Manager

Data Science Manager

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 Science Manager to head 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 collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance.

We’re looking for a driven, hands-on data science manager to lead, mentor, and manage contributors on the team. You should have an excellent grasp of core machine learning techniques and a product-focused mindset, as well as a track record of growing and empowering data scientists to drive business value through modeling and experimentation.

Key Responsibilities:

    • Build and lead the data science team to deliver world-class products.
    • Oversee the development of data science models from conducting code reviews to supporting launches while keeping the team accountable and impactful.
    • Give data scientists the tools and motivation to build predictive models that lead to business impact.
    • Apply data and algorithmic thinking to address business and domain problems.
    • Work cross-functionally with other engineering teams and Product Management to solve problems, identify trends and opportunities.
    • Lead the technical strategy of the data science team.
    • Roll up your sleeves to code, build, and integrate models as necessary.

You have:

    • Previous experience as manager of data scientists and machine learning engineers
    • Hands-on experience with machine learning tools, techniques, and framework
    • Experience with building and productizing models, and iterating and improving them over time
    • Experience with advising leadership on decisions related to your field and expertise
    • Ability and desire to educate the rest of the company in data science concepts and techniques
    • Advanced degree in statistics, applied mathematics, computer science or equivalent 
    • Strong quantitative and analytical skills as well as experience strong foundational skills in Python, pandas, and SQL

Ideally, you also have:

    • 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

We offer a healthy work environment that continuously builds an inclusive and diverse culture where everyone is able to develop the best version of themselves. 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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