TrueML
San Francisco
51-200 employees
TrueML is a fintech company building software to create positive experiences for consumers seeking financial health.
Prior Listings
Data Scientist II
Data Scientist II
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
The Role:
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.
We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a crucial role in driving data-driven decision-making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems.
Work-Life Benefits
- Unlimited PTO
- Medical benefit contributions in congruence with local laws and type of employment agreement
What you’ll do:
- Independently support data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
- Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
- Work cross-functionally to identify high impact business needs and translate them into technical requirements
- Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
- Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.
A successful candidate will have the following skills & experience:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's or Ph.D. degree is preferred.
- Minimum 3+ years of data science experience, with a focus in machine learning, with a track record of successfully leading and delivering complex data science projects
- Strong foundational skills: Python, pandas, SQL
- Hands-on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
- Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
$43,942 - $79,095 a year
Compensation Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.
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 TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. 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.