Data Scientist

Lead Growth Data Scientist Office Locations: San Diego, CA (La Jolla/UTC) or Atlanta, GA (Cumberland/Galleria) or Orlando, FL (Maitland, FL) Hybrid 2 days per week onsite in the office (Mondays and Thursdays), Full time M-F Exempt/Salary: $150,000-170,000. Position eligible for additional incentives including bonus, 401(k) match, health and welfare benefits, amazing culture, growth opportunity and more!! General Summary: A Growth Data Scientist is responsible for overseeing the collection, storage, and interpretation of data for the business in order to provide meaningful insights about how to improve business operations and performance. General duties include partnering with organizational and department leaders to identify key data points, align data definitions, create organized data repositories, compare data points to current company processes, and write reports detailing business behavior, predictions and/or proposals. Data Scientists apply data science techniques across various domains, such as marketing, credit risk, and sales. Major Responsibilities: Engage stakeholders to understand business problems and requirements; Manipulate structured and unstructured datasets from disparate data sources; Perform data preprocessing, integration, cleansing, descriptive analysis and visualization; Perform exploratory data analysis, ad-hoc analysis, and root cause analysis; identify data issues and communicate with data owners; Develop models and algorithms to automate and improve business decisions; Identify and test hypotheses, ensuring statistical significance, as part of building predictive models for business application; Monitor and analyze model performance for validation and troubleshooting of issues that may arise; Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics; Participate in R&D work to further advance the analytics platform; Contribute to improving the overall analytic capabilities of the team; and Other duties as assigned. Knowledge, Skills, and Abilities Required: 5+ years' experience of equivalent combination of education and experience. Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, engineering, or related discipline required. Experience mentoring others data scientists. Experience working with building, deploying, and maintaining recommendation systems and models in a live environment. Fluency in programming languages such as R, Python, SQL. Understanding and application of supervised and unsupervised machine learning algorithms and statistical analysis methods. Proficiency in working with SQL databases. Strong programming practices utilizing version control systems (e.g. Git). Demonstrated machine learning experience. Experience with cloud technology (AWS) a plus. Experience in FinTech/Credit space a plus. Attention to detail. Strong communication skills across technical and non-technical audiences. Experience with Tableau and/or Salesforce preferred. Why FairSquare? Positive, energetic, passionate, business casual environment with management who are committed to your success. We’re committed to fostering talent and providing opportunities for personal and professional growth. Health insurance for you and your family, matching 401K retirement plans, and education stipends. Numerous employee events throughout the year, including our annual traditions such as a Day at the Del Mar Racetrack, Holiday Party, Concerts & Sporting Events and more. FairSquare serves the small business community. Since 1999, we have provided more than $3 billion in funding to over 50,000 customers to support their working capital and equipment financing needs. We are one of the country's largest private providers of small business loans, having funded more than $3 billion to help small businesses grow. Our personal approach helps strengthen small business owners and we pride ourselves on being a resource they can trust. We are believers in small business owners. FairSquare is an Equal Opportunity Employer. #J-18808-Ljbffr