Online Technical Services Hiring for Data Scientist – Marketing Job at Remote Full Time

Job description

Data Scientist, Marketing

This is a REMOTE position

SAN DIEGO, CA /ANALYTICS – DATA SCIENCE /FULL-TIME

Headquartered in San Diego, we serve as a leading provider of working capital ($5K – $1.5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people-first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.

We are seeking a mid-level to senior level statistician, quantitative modeling specialist, or data scientist to join our Analytics team and build predictive models for marketing. If you have exceptional analytical, quantitative and problem-solving skills, demonstrated experience designing and implementing predictive models and analytics in marketing, a proven track record of bringing thought leadership to problems, and the desire to make a rapid impact on the success of the business, this is an opportunity for you.

The ideal candidate has an advanced degree in statistics, economics, mathematics or a related field; strong inner motivation to work hard, learn and grow; intellectual curiosity and honesty; attention to detail; and excellent interpersonal skills. This position reports to the SVP of Analytics.

Responsibilities

Research, devise, test and implement innovative statistical models for marketing and related areas of the business.

Work independently and in collaboration with others on the team.

Identify relevant data sources and data sets to deliver insights and analysis for business decision-making.

Source, cleanse and verify data.

Work closely with analytics and technology teams to deploy models in production and to monitor and test deployed models.

Communicate analytics solutions to parties across the business in the form of presentations and other materials.

Own the accuracy and precision of all work.

Required Qualifications

B.A. or above in statistics, economics, applied mathematics, or related discipline (Master’s or above preferred).

2-5 years of experience in model design and implementation in marketing for fintech or related industry.

Independence and thought leadership in problem solving; demonstrated ability to own a problem from initial data analysis to model research, development, testing and operationalization.

Strong understanding of and experience with marketing data flows and methods for audience segmentation, customer lifetime value, and attribution.

Fluency with statistical modeling and machine learning methods.

Fluency with SQL and Python.

Fluency with descriptive data analysis and presentation.

Strong attention to detail and organizational skills.

Intellectual curiosity and creativity.

Strong written and verbal communication skills.

We Offer

Competitive compensation package.

Great Medical, Vision and Dental Benefits.

Health Savings Account.

Flexible Spending Accounts.

Life and disability insurance.

Fantastic 401K with matching contribution.

Sick, Vacation, and Holidays.

Gym membership contribution.

Employee Assistance Program (EAP) – mental health support.

Online commuter benefits.

Internal Referral Program.

Fun team and company events.

Start-up culture, within an established business with 13 years of experience.

Great central location in San Diego – easy access from highway.

We are an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.

Job Type: Full-time

Pay: $145,000.00 – $150,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday

Experience:

• Python: 1 year (Preferred)
• SQL: 1 year (Preferred)

Work Location: Remote