Job Description

Job Description

Job Description

Soaren provides customer-centric alternative lending solutions in consumer markets via proprietary underwriting and loan management systems. With multiple verticals in the financial services industry, Soaren excels in customized portfolio management, software development, customer service, telecommunications, automated application processing, and asset recovery. We have built top-of-the-line proprietary software platforms to underwrite and manage loans, which we strive to continually innovate upon. And that’s where you come in.

Soaren is adding a Senior Data Scientist to our Fintech start-up, which is stable, profitable, and rapidly growing. We offer great compensation, benefits, environment, and performance-based rewards. We are currently looking for an experienced Senior Data Scientist with deep technical and statistical knowledge and a proven track record to drive business value using advanced data analysis and machine learning techniques. This position will collaborate with executives and other business departments to contribute to initiatives that assure portfolio growth and performance, adapt to changing market conditions, and identify fraudulent activity. The Senior Data Scientist reports directly to the Head of Data Science.

Responsibilities

• Analyze complex data sets to reduce costs and improve customer experience.
• Create systems for gathering, extracting, preparing data from multiple sources.
• Evaluate call center services and consumer experiences with measurable data points.
• Develop, deploy, and maintain machine learning models for credit scoring and optimization of operations. Take ownership of the ML process from development through production.
• Identify opportunities to leverage machine learning insights across the business.
• Given a business problem, identify related data sources, construct a process and create a model that solves the problem.
• Observe and maintain model governance and compliance standards across all production applications.
• Understand operational key performance indicators, report trends and patterns.
• Communicate machine learning insights to business stakeholders.
• Collaborate across Operations, Compliance, IT, Finance, or other departments.
• Develop relationships with external vendors and evaluate data studies of vendor products.
• Mentor junior team members and share knowledge with others in the department.
• Follow all company policy and procedures.
• Display leadership through punctuality and professionalism while performing required duties.
• Other related duties as assigned.

Qualifications

• Advanced degree in Statistics, Data Science, Mathematics, Computer Science, or another quantitative field.
• 3+ years of proven experience building and deploying statistical and machine learning models.
• 3+ years of experience using Python to manipulate data and draw insights from large data sets.
• Deep experience and knowledge of tree-based and boosting algorithms (eg, XGBoost, LGBM) is required.
• Demonstrated experience with cloud data platforms and contemporary model and data pipeline technology.
• Strong SQL and data-wrangling skills – experience specifying and completing analyses from scratch.
• Familiarity with MLOps technologies and the machine learning life cycle.
• Experience with model deployment and API maintenance using Python and Flask.
• Experience with version control software and methodologies.
• Strong written and verbal communication skills.
• Experience working in a startup environment and/or consumer lending a plus.
• Must meet requirements of company background check policy requirements.

Success Measures

• Ability and willingness to self-start and self-manage in a high volume, data-driven environment.
• Ability to enhance portfolio outcomes through analytics and operational acumen.
• Ability to scope, lead, manage, and execute assigned projects with effective data visualization.
• Achieve goals while promoting a positive attitude true to our mission and core values.

Compensation and Benefits:

• Highly competitive salary
• Remote-work capabilities
• Performance based rewards
• Unlimited vacation time
• Dog-friendly office
• Casual work environment
• A small executive team with promotion opportunities
• Company sponsored medical/dental/vision/life insurance/AD&D
• 401k with generous company matching
• Paid parental leave
• Excellent work-life balance
• Beautiful office with huge breakrooms, snacks, and activities

Our Company Mission:

Soaren merges time-tested business practices with bleeding-edge proprietary technologies to deliver reliable, efficient and secure financial products and services. Our greatest strengths, technology and customer care, flow from the ingenuity, curiosity and integrity of our partners and employees.

Vision Statement:

Soaren works toward a future where all consumers have broad and immediate access to a range of reliable, efficient, and secure financial products and services, expedited by constantly evolving technologies.

Soaren’s Commitment to its Talent:

Soaren believes our success flows directly from our employees. Our employees are at the heart of our success. As such, it's in our best interest to provide all the support they need to succeed and thrive. For that reason, Soaren is expanding its search for fresh talent and developing our current talent. Our commitment to our team ensures value and service to our ever-growing customer base through hiring and growing our people-centric, diverse, and forward-thinking talent. We live in our values of Innovation, Superior Customer Care, Compliance, Community, Balance, and working by the Golden Rule.

EEO Policy:

Soaren provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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