TrueML

Data Scientist II

Scottsdale, Arizona, United States

TrueML Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, SoftwareIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field, with a Master’s or Ph.D. degree preferred. They must have at least three years of experience in data science, specifically with a focus on machine learning, and a demonstrated track record of successfully leading and delivering complex data science projects. Strong foundational skills in Python, pandas, and SQL are also required.

Responsibilities

As a Data Scientist, the individual will independently support data science projects throughout their lifecycle, from problem formulation to model deployment, ensuring successful delivery and implementation. They will apply data and algorithmic thinking to identify and understand critical business challenges, proactively proposing data-driven solutions. Furthermore, they will work cross-functionally to identify high-impact business needs, translate them into technical requirements, conduct exploratory data analysis to uncover trends and patterns, and utilize statistical techniques and machine learning algorithms to build predictive models and optimize business processes.

Skills

Python
pandas
SQL
Machine Learning
Data Analysis
Statistical Techniques

TrueML

Fintech solutions for debt collection and management

About TrueML

TrueML operates in the financial technology sector, focusing on enhancing the financial services experience for consumers. Its main product, TrueAccord, is a digital platform that streamlines debt collection and recovery, using intelligent technology to improve outcomes for businesses while ensuring a positive experience for consumers. TrueML also offers True Life Solutions, which includes consumer-facing tools like Engage, a communication platform that connects consumers with debt collectors and creditors, helping them manage and pay down debts. Unlike many competitors, TrueML emphasizes inclusivity and customer-friendliness in its approach to financial services. The company's goal is to make financial services accessible to everyone, regardless of their financial situation, and to transform the often challenging experience of managing debts into a more manageable and respectful process.

Key Metrics

16011 College Blvd Suite 130, Lenexa, KS 66219, USAHeadquarters
2013Year Founded
$199.9MTotal Funding
VENTURE_UNKNOWNCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees

Benefits

Unlimited Paid Time Off
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
401(k) Retirement Plan
Family Planning Benefits
Mental Health Support
Wellness Program

Risks

Emerging fintech startups may erode TrueML's market share with similar solutions.
Consumer privacy regulations like GDPR could impact TrueML's operations significantly.
Economic downturns may challenge TrueML's ability to recover debts effectively.

Differentiation

TrueML uses machine learning to personalize debt collection outreach across digital channels.
TrueAccord platform optimizes debt recovery while enhancing customer experience and brand loyalty.
True Life Solutions offers tools like Engage to help individuals manage and pay down debts.

Upsides

Retain product recovered $375 million in past-due balances since January 2023.
Thomas Overton's appointment as CTO enhances focus on machine learning capabilities.
Retain reduces operational costs by automating delinquency communications, increasing efficiency.

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