Senior Manager, Data Science - Borrow at SoFi

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

0.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Software Engineering, Management, Data Pipelines, SQL, Python, Data Visualization, Machine Learning, Agile Methodologies, Stakeholder Management, Analytical Skills, Problem Solving, Communication Skills, Collaboration, Technical Ownership, Mentoring

Industry

Financial Services

Description

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role The Borrow Data Science team is seeking a Senior Manager who will help support growth in our Lending businesses by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you’ll do: Manage a team of Data Scientists supporting SoFi’s Personal Loans, Student Loans, and Home Loans businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and retain top talent Ensure that the team is operating in an agile and efficient manner Stay up-to-date on the latest AI/ML technologies Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions What you’ll need: Bachelor’s Degree in a technical field 7+ years of Data Science or Software Engineering experience 3+ years management experience Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company Experience with using Airflow and DBT to build Data Pipelines in Snowflake Strong programming skills in SQL and Python Experience with building data visualizations with Tableau, Looker or other BI tools Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders; Strong relationship building and collaborative skills; Exceptional problem-solving Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Responsibilities

Manage a team of Data Scientists to support SoFi’s Lending businesses. Collaborate with stakeholders to identify and prioritize Data Science initiatives while ensuring high standards for quality and timely delivery.