Staff Data Scientist

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Overview of Empower

Empower is redefining the financial landscape by providing robust opportunities for its customers. Their mission is to deliver cash access, fair credit options, and the means to transform personal financial narratives. With an emphasis on technological innovation, Empower leans heavily on machine learning frameworks to evaluate creditworthiness, enabling a more inclusive approach.

Company Background

Empower has experienced notable growth in recent years, being ranked #65 on Inc. 5000's Fastest-Growing Private Companies list for three consecutive years. Furthermore, the company was recognized by Forbes as one of 2024's Next Billion-Dollar Startups. Their products, including the Thrive line of credit and Petal credit cards, have also received accolades, making Empower a notable player in the fintech space. The organization is backed by reputable investors like Sequoia Capital, Blisce, and Icon Ventures.

Company Culture

Empower is guided by its unique principles:

• Great Expectations: Employees are encouraged to set bold goals and pursue impactful outcomes.
• Owner Mindset: Staff members are given the autonomy to make independent decisions in an accountable way.
• Spirited Debate: The company values diverse perspectives, fostering an environment for critical thinking and debate.
• Customer Obsession: A strong focus is placed on empathetic listening to deliver exceptional customer experiences.
• Inclusive Collaboration: Empower believes in the decision-making superiority derived from diverse teams.
• No Jerks Allowed: Emphasis is placed on building respectful relationships and creating a trusting environment.

Job Description

The Staff Data Scientist position at Empower is crafted for individuals who will take charge of the complete lifecycle of machine learning development. This encompasses working alongside stakeholders for concept development, building model pipelines, and both the technical deployment and business decision partnership with credit, product, and finance teams.

Responsibilities

Candidates will be tasked with:

• User Growth: Utilize machine learning and analytics strategies to enhance user retention and growth.
• Model Building: Create machine learning models from extensive data sets to meet business objectives.
• Strategic Design: Influence critical strategies related to underwriting, marketing, fraud prevention, and customer experience.
• Collaboration with Engineering: Work with the engineering team to deploy models effectively into production systems.
• Cross-Functional Cooperation: Ensure alignment of analytics efforts with operations and product strategies to encapsulate the broader business objectives.
• Development of Standards: Establish data standards and analytics pipelines for current and future analytical needs.

Required Skills and Qualifications

To be eligible for this role, candidates should possess the following qualifications:

• Educational Background: A Bachelor’s degree in engineering, computer science, finance, or mathematics.
• Experience: 6+ years of industry experience in data mining, machine learning, statistical analysis, or predictive modeling, with a preferred 2+ years of experience at a bank or FinTech focusing on predictive modeling or credit analytics.
• Technical Knowledge: A deep understanding of statistics and various machine learning techniques, including regression, classification, clustering, and optimization strategies.
• Programming Proficiency: Strong programming capabilities in Python, along with a solid intermediate-to-advanced knowledge of SQL.
• Familiarity with ML Packages: Experience with machine learning packages such as scikit-learn, LightGBM, XGBoost, and SparkML is essential.
• Deep Learning Tools: While not mandatory, knowledge of deep learning frameworks like TensorFlow, Keras, or PyTorch is preferred.
• Communication Skills: The role requires exceptional problem-solving skills along with the ability to communicate effectively with both technical teams and executives.

Compensation and Benefits

Empower provides a competitive salary along with a generous equity package for its employees. Moreover, full healthcare benefits are included, ensuring that employees are well-supported in their personal health expenses. The company also offers technology expense reimbursement to help staff effectively utilize tools necessary for their roles. Empower fosters a virtual-first work environment, allowing flexibility while hosting regular company offsites for connectivity between team members. Travel for these offsite events is typically expected a minimum of twice a year.

Call to Action

This role is targeted towards seasoned professionals who are enthusiastic about leveraging their skills to render impactful contributions to both the business and the community. If you are eager to take on challenging problems in a nurturing environment committed to diversity, inclusion, and empowerment, Empower encourages you to apply, even if you don't completely match the job requirements. The organization endorses the belief that varied experiences can enrich team dynamics.

This job offer was originally published on himalayas.app